{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def loadDataSet(fileName):\n",
    "    dataMat = []\n",
    "    fr = open(fileName)\n",
    "    for line in fr.readlines():\n",
    "        curLine = line.strip().split('\\t')\n",
    "        fltLine = list(map(float ,curLine))\n",
    "        dataMat.append(fltLine)\n",
    "    return dataMat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def distEclud(vecA,vecB):\n",
    "    return np.sqrt(np.sum(np.power(vecA - vecB , 2)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def randCent(dataSet,k):\n",
    "    n = dataSet.shape[1]\n",
    "    centroids = np.mat(np.zeros((k,n)))\n",
    "    for j in range(n):\n",
    "        minJ = np.min(dataSet[:,j])\n",
    "        rangeJ  = float(np.max(dataSet[:,j]) - minJ)\n",
    "        centroids[:,j] = minJ + rangeJ * np.random.rand(k,1)\n",
    "    return centroids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(80, 2)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataMat = np.mat(loadDataSet('testSet.txt'))\n",
    "dataMat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4.838138, -5.379713, -4.232586, 5.1904)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(dataMat[:,0]) ,np.min(dataMat[:,0]) , np.min(dataMat[:,1]),np.max(dataMat[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[-4.63576309,  1.45273184],\n",
       "        [-3.44545764, -3.53767974]])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randCent(dataMat,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def kMeans(dataSet , k ,distMeas=distEclud,createCent=randCent):\n",
    "    m = dataSet.shape[0]\n",
    "    clusterAssment = np.mat(np.zeros((m,2)))\n",
    "    centroids = createCent(dataSet ,k)\n",
    "    clusterChanged = True\n",
    "    while clusterChanged :\n",
    "        clusterChanged = False\n",
    "        for i in range(m):\n",
    "            minDist = inf\n",
    "            minIndex = -1\n",
    "            for j in range(k):\n",
    "                distJT = distMeas(centroids[j,:],dataSet[i,:])\n",
    "                if distJT < minDist:\n",
    "                    minDist = distJT \n",
    "                    minIndex = j \n",
    "            if clusterAssment[i ,0] != minIndex :\n",
    "                clusterChanged = True\n",
    "            clusterAssment[i ,:] = minIndex , minDist **2\n",
    "        print(centroids)\n",
    "        for cent in range(k):\n",
    "            ptsInClust = dataSet[np.nonzero(clusterAssment[:,0].A == cent)[0]]\n",
    "            centroids[cent,:] = np.mean(ptsInClust,axis=0)\n",
    "    return centroids ,clusterAssment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1.39518766 -2.76623001]\n",
      " [-2.89262609  2.21310271]\n",
      " [-4.08636617 -2.19521641]\n",
      " [ 4.28544528  3.91541922]]\n",
      "[[ 2.65077367 -2.79019029]\n",
      " [-2.46154315  2.78737555]\n",
      " [-3.53973889 -2.89384326]\n",
      " [ 2.6265299   3.10868015]]\n"
     ]
    }
   ],
   "source": [
    "myCentroids , clustAssing = kMeans(dataMat , 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def biKmeans(dataSet, k, distMeas=distEclud):\n",
    "    m = shape(dataSet)[0]\n",
    "    clusterAssment = mat(zeros((m,2)))\n",
    "    centroid0 = mean(dataSet, axis=0).tolist()[0]\n",
    "    centList =[centroid0] \n",
    "    for j in range(m):\n",
    "        clusterAssment[j,1] = distMeas(mat(centroid0), dataSet[j,:])**2\n",
    "    while (len(centList) < k):\n",
    "        lowestSSE = inf\n",
    "        for i in range(len(centList)):\n",
    "            ptsInCurrCluster = dataSet[nonzero(clusterAssment[:,0].A==i)[0],:]\n",
    "            centroidMat, splitClustAss = kMeans(ptsInCurrCluster, 2, distMeas)\n",
    "            sseSplit = sum(splitClustAss[:,1])\n",
    "            sseNotSplit = sum(clusterAssment[nonzero(clusterAssment[:,0].A!=i)[0],1])\n",
    "            #print (\"sseSplit, and notSplit: \",sseSplit,sseNotSplit)\n",
    "            if (sseSplit + sseNotSplit) < lowestSSE:\n",
    "                bestCentToSplit = i\n",
    "                bestNewCents = centroidMat\n",
    "                bestClustAss = splitClustAss.copy()\n",
    "                lowestSSE = sseSplit + sseNotSplit\n",
    "        bestClustAss[nonzero(bestClustAss[:,0].A == 1)[0],0] = len(centList) \n",
    "        bestClustAss[nonzero(bestClustAss[:,0].A == 0)[0],0] = bestCentToSplit\n",
    "        print ('the bestCentToSplit is: ',bestCentToSplit)\n",
    "        print ('the len of bestClustAss is: ', len(bestClustAss))\n",
    "        centList[bestCentToSplit] = bestNewCents[0,:].tolist()[0]\n",
    "        centList.append(bestNewCents[1,:].tolist()[0])\n",
    "        clusterAssment[nonzero(clusterAssment[:,0].A == bestCentToSplit)[0],:]= bestClustAss#reassign new clusters, and SSE\n",
    "    return mat(centList), clusterAssment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2.30095831 -0.09428335]\n",
      " [ 3.98023    -3.07942068]]\n",
      "[[-0.23255404  1.85591268]\n",
      " [ 0.408857   -3.54908071]]\n",
      "[[-0.03082922  3.12682161]\n",
      " [-0.43154563 -2.87788837]]\n",
      "[[-0.00675605  3.22710297]\n",
      " [-0.45965615 -2.7782156 ]]\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  60\n",
      "[[ 2.90561679  1.57279994]\n",
      " [-1.49413066  1.8302204 ]]\n",
      "[[ 2.93386365  3.12782785]\n",
      " [-2.94737575  3.3263781 ]]\n",
      "[[-0.80408024 -1.00455   ]\n",
      " [-1.77032818 -3.84502219]]\n",
      "[[-0.62481413 -2.03253025]\n",
      " [-0.34955083 -3.27533917]]\n",
      "[[-0.9555675  -1.96804713]\n",
      " [-0.12904858 -3.31832792]]\n",
      "[[-1.26873575 -2.07139688]\n",
      " [ 0.07973025 -3.24942808]]\n",
      "[[-1.26405367 -2.209896  ]\n",
      " [ 0.19848727 -3.24320436]]\n",
      "[[-1.1836084 -2.2507069]\n",
      " [ 0.2642961 -3.3057243]]\n",
      "[[-1.12616164 -2.30193564]\n",
      " [ 0.35496167 -3.36033556]]\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  40\n"
     ]
    }
   ],
   "source": [
    "dataMat3 = np.mat(loadDataSet('testSet2.txt'))\n",
    "centList  , myNewAssMents = biKmeans(dataMat3,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 2.93386365,  3.12782785],\n",
       "        [-0.45965615, -2.7782156 ],\n",
       "        [-2.94737575,  3.3263781 ]])"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "centList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def distS(vecA ,vecB):\n",
    "    a = np.sin(vecA[0,1]*np.pi/180) * np.sin(vecB[0,1] * np.pi / 180)\n",
    "    b = np.cos(vecA[0,1]*np.pi/180) * np.cos(vecB[0,1] * np.pi / 180)*\\\n",
    "        np.cos(np.pi * (vecB[0,0]-vecA[0,0]) / 180)\n",
    "    return np.arccos(a +b)*6371.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib \n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def clusterClubs(numClust=5):\n",
    "    datList = []\n",
    "    for line in open('places.txt').readlines():\n",
    "        lineArr = line.split('\\t')\n",
    "        datList.append([float(lineArr[4]), float(lineArr[3])])\n",
    "    datMat = mat(datList)\n",
    "    myCentroids, clustAssing = biKmeans(datMat, numClust, distMeas=distSLC)\n",
    "    fig = plt.figure()\n",
    "    rect=[0.1,0.1,0.8,0.8]\n",
    "    scatterMarkers=['s', 'o', '^', '8', 'p', \\\n",
    "                    'd', 'v', 'h', '>', '<']\n",
    "    axprops = dict(xticks=[], yticks=[])\n",
    "    ax0=fig.add_axes(rect, label='ax0', **axprops)\n",
    "    imgP = plt.imread('Portland.png')\n",
    "    ax0.imshow(imgP)\n",
    "    ax1=fig.add_axes(rect, label='ax1', frameon=False)\n",
    "    for i in range(numClust):\n",
    "        ptsInCurrCluster = datMat[nonzero(clustAssing[:,0].A==i)[0],:]\n",
    "        markerStyle = scatterMarkers[i % len(scatterMarkers)]\n",
    "        ax1.scatter(ptsInCurrCluster[:,0].flatten().A[0], ptsInCurrCluster[:,1].flatten().A[0], marker=markerStyle, s=90)\n",
    "    ax1.scatter(myCentroids[:,0].flatten().A[0], myCentroids[:,1].flatten().A[0], marker='+', s=300)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-122.68370297   45.60725158]\n",
      " [-122.66396092   45.5339534 ]]\n",
      "[[-122.72070683   45.59796783]\n",
      " [-122.6231971    45.50414849]]\n",
      "[[-122.73635922   45.569441  ]\n",
      " [-122.61597375   45.50373655]]\n",
      "[[-122.74941346   45.545862  ]\n",
      " [-122.60434434   45.50451707]]\n",
      "[[-122.74823556   45.52585431]\n",
      " [-122.59648847   45.50821685]]\n",
      "[[-122.72797062   45.51642875]\n",
      " [-122.58031918   45.51010827]]\n",
      "[[-122.7142141    45.51492203]\n",
      " [-122.56818551   45.5102949 ]]\n",
      "[[-122.70981637   45.51478609]\n",
      " [-122.56409551   45.51016235]]\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  69\n",
      "[[-122.78956175   45.46901145]\n",
      " [-122.7264533    45.55141736]]\n",
      "[[-122.75334408   45.46622433]\n",
      " [-122.68369975   45.54392315]]\n",
      "[[-122.49301766   45.52900512]\n",
      " [-122.41655642   45.44491816]]\n",
      "[[-122.56789534   45.51561766]\n",
      " [-122.4975985    45.4146945 ]]\n",
      "[[-122.56594641   45.51822194]\n",
      " [-122.54311867   45.41882033]]\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  32\n",
      "[[-122.77001651   45.45939814]\n",
      " [-122.69321401   45.39786878]]\n",
      "[[-122.7625912   45.4747672]\n",
      " [-122.7071085   45.42351  ]]\n",
      "[[-122.78288433   45.4942305 ]\n",
      " [-122.72380383   45.43821817]]\n",
      "[[-122.61521932   45.44849976]\n",
      " [-122.52677828   45.41680128]]\n",
      "[[-122.58273039   45.51281758]\n",
      " [-122.46781533   45.49644367]]\n",
      "[[-122.58677876   45.51385621]\n",
      " [-122.48186875   45.49677212]]\n",
      "[[-122.59051507   45.51511504]\n",
      " [-122.4927627    45.4967901 ]]\n",
      "[[-122.68583984   45.59138576]\n",
      " [-122.74494873   45.54508614]]\n",
      "[[-122.68707283   45.580179  ]\n",
      " [-122.68225414   45.52838493]]\n",
      "[[-122.72070683   45.59796783]\n",
      " [-122.66783957   45.52076114]]\n",
      "the bestCentToSplit is:  1\n",
      "the len of bestClustAss is:  37\n"
     ]
    },
    {
     "data": {
      "image/png": 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fPSUc0mmd3b1DsukUoiQl1/VlwS+98CC0Op5UAJEmtD7+4WVOfFBvJD5KJ6L6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MlqKt1GA13TMLo9ZqbHadRbpDMHrAlXl/BrjfBnIZtGPDYdeAoM8GpiWx25bCUIggQ8Caz5vv8u\nQRD+LfABGFBA4Ld83//cAa+7RjAt5AKO7/t3DX5/pNe/4uB7xOKxcGBvLp1gtWkwuYPh0mgEgWI4\n+3G51mIqrrNiHKyncxh2ZiN78Z0EkVqtQVYapczLYzENy1cZc4L0wKtkda3E8rUVRscKbFnOrgCi\njoxw4cI6+ohCRI1SX2+iFgpI0oAiu1VjbKzA8vJqyObyCRhKsiwhiCKqJCGYAqIi0DetoOmuKEii\nAC5UuhI+Iqoi4nk+iiZhDp4Xi+rYto3mKfhysJM02t0wcHiehwP4BH0Y1/WAbdZVVdOwB2ZXE4kE\nnUEPZoQ+nvk0qawJbbCVDH5iClGUKFdqRCIRhFgKjhA87MJJnp2a586Xvo3aKiEMG+vNDZTNizf9\nHdnKwfIiAXOviMKQMSdRo8VcOrHf7fK7hO/7qVs5+/lA7Tl5z+FGakMsNoYlrNa+/sfddwUZ71Bf\n7CAGWO9KCzEiomRUtImXzzxT0yrZt0+Gx2w9UcbrueGMCxC4PupR6N3YD0Y8PgPHdzD0jA7u+Yuw\nQ0jRd787hmh/H7iZnsf/AJwHdobUP/B9/38/wmvf4vv+QZZ5R339KwK+54MgUq3WQqaFIArkB+wc\nWRA4lknskiXZaAVbZRPnur2OWr2JsMdt0HXdQ42eXm7g2DnQWK69fApsFIm6tsbKis3UVDCM+OL5\nS0Q0lfmBFP2Okw2GCoGOC2ohKMVttDqMJWPk81lW10osnJzjxfOXODk/G9T1hUCQbnOzGviJDzxQ\nLNtGEEW63R6e5zEeA5/tz0MalYj19cE8iUilWkcURaLRocCeQjwWxXXcwB2OIEPZKROvKDK1WiOw\n/dVUZM8joql0BLBmpsgurSDddTu1587jLw3fu89ibJURpcdMqgc+OKNTKJVr28HgAHiSgjl9J2de\n+AJir7WvP3KzS7ovqcgn7iHS69LXj2afOzQBg4Oz45pVp2d1aNlNomKStD5CSo7s2jVfD8l7Ruld\naWGuGTe1oA/7H0eBVerSfamJNhX7joLGQdDnkkHm4Xr0rhnYlf6uQNjXo4xHguxGEIWjmbTFY0in\nd6sgCNKnv6vn/XeJIwUPQRAmgR8G/jfgw3+nZ/QKxnBntlc1VJOlA6UvTMum47jEZCmg3Po9EAcF\nCn/7pt4rJncQtioBO6Xb7aAqamCAI4qYpk3f7KFpQYN5rDgaUmX3Zi3DqfPhY6eyp192/2PIvirF\nythXHWZmJinkR7iyuMzk3H6jnRCmidVoIGgRtEI+0PvS1DCgnZyf5eLlRWz7xD4JieuFy2JKotR0\nEUSRar1JTA+a3zslTkzLxpd9IppKrx9Yq2bSSVzHxXZd9IgWOhy6h+wAX1q7yvHbJjHU44jtDu10\niuzgemi3O0xX60iVHp1G8P4Xojp3ShEiro1wgAe7L4i4kVSQLfXbN91Y33c8wBU0zCWDybvnbzhY\neBD29q4ikshkKsP5TlA263otup0WwyJaUkkheREcP3KgJ8kQ+lwSr+9gnKuhjkRuOFh4Q7gexvkG\nXsdBGQk2JEP5+b8zSCL6XBJzpYPXd3aV4tb7FvPRCIl4jFQq8R27fL7ScdTM4/8AfhPY6+n464Ig\nvJ+gnPU/+r5/kAaGD3xZEAQX+I++7//xzbxeEIRfAX5l8OMf73n93zMElpZXD3QhG2I+m9x18w0n\nyRG6h24hJUkMB+J2Ym19E8cJmvCO6w7q+OJ1PdSBcFJ6L4aT0oeVwo4Ky/f4b81lfkY9RUxzqaZr\n9C8GLnWbWxWSqk6ZQ/opmhaWppaW17E6HWqFAjUzkAlZ2yhz6y0nuPS8HZ5n3zT3ZVrNZgtJEsPf\nR5Xgw7Vtm5QQw3A7YeN82DQHggn3/rbY485so7fHh6HXNwev8xiGrrsWXkeNOrVmE12LhLMdQ18I\nOxmnq8ghDXnh6hLd9L0ovbNI3eauDMQXJbxohtqd74XnP0nqiL4vh8EHXC2Dcf8vIGkx3CefpZPN\nMH98mlqtQcv1cKSb/+77btB4Vpg68PFe+CfdOPCJEZn4mSzmmkHti6vo88FG6yjNbHPNoHepjTYV\no3e5FTS0j9jPuBHDcTi3dVSk3zyGca62j+I73Dw6lvM9HTjgCMFDEIR3AWXf958SBOHNOx76I+C3\nCa7Z3wb+PfCLBxziPt/31wRBGAW+JAjCS77vP3rU1w+CxT9gwNiNmenJ6za3hxfPzVByJyeKrKxu\nUCoFwm+pVJL1jU0S8Vg4pObYAW21XD6o+hdg2AfZGTh29ka0Hb4iB+lxHRWPdMp8rVdhTF7irUwy\npoywUajw4vlL3HrLCVzXYzYVZ2uriiHJh+56JyeKOAOFViGbDYYnJ4q02x1iUZ1Otxc+r1TaCkXj\nbEBVlNB0p6T9EKemfHxXwLahUoG52WVcb9i/YN/w2U6dsKEnujotw0Yg9R30W2RESUQkyDpd16NW\na5DP5zDkVeLxGL7nheVGx7aRFSUMTpbt0Dw+QyQSwX9BRS76RFsX8ToNxFgac+YNLJpREuVlxqzd\ngetm4BOUqrq3/TD2+GlM06K0vM5ERCNWq+PW6mTvuj2kkrquR7ttYHS6CKpK72UEFAgotLZt8+EP\nf5iPfexjPPbYY6TTaU7dehp/4GqoKNvXXKvXI6nrtHo9rHiMkbtP8sL6OqfHx1l96RqLj5fDxrrX\ndzCereE0LGJn0nTONYjfMxpmFjuDTZAZxbn00mVOnJoPf39deZU9EEQhvF+PGkjUyThWqbsvgxre\n++12B13TkG/C0O3VhBuyrQRB+F3gfYBDoFGZBD7l+/7P7njOMeCzvu+fucGx/i1g7O1zHPX1/9C4\nbTbqf+qP/gXGYFErDlzRhjAGjbuS0dsXOJxBKcQXLGxL3LV41ZvtsD4fSHZ4jI6ODPSSSriuF7KL\nDrOzdV0P3/NwDBffcXFcj0Rxu+57veb7zZSuLN/jNzafpee7RAWJ3yvcTrSfYLZY5GzzJWKbMWKx\noFmbSsbRIxor3f2y7lPJGLWtamgMtLa+SS+yLc3ywqNBY3R87nMkkwmieiTMHpotg1wuQ7UaJKpj\n4yf524cF3vqAT0QTqNXBc1bo9c2wDKUoMgmhTc3Sd1F541Edz/fp2iZ/4j7Ph+J3Izp+QLse0HdF\nUQzLWJIkoWkWpqmSSMTY2qoRi0WJRiOB/4jj0jNNZFkO2FquRz6fxbQc5MG0sh/R8PaIHKaWHibS\nXj7y97ATPrD0Qx8mpQWfu2k5NOpNRlZWke66HffJZwFQ7jiBJx1cKhrawBrK0VlJa+fOhVpR73nw\nx2gZBo8++nWOHTvG2bNnWVhY4MKFQBVxamqKxx9/nAceeIALFy6g6zrveve7+eQnPsF73vNgMENB\n0Ji2K320yShaMQqH9PYO2pitrW0yMbF/t7/aNOi73k374xxFwv56NODh+xmdHvHY0Sylv6fYVr7v\n/0vgXwIMMo//yff9nxUEYcz3/SGR+d3Aub2vFQQhBoi+77cH//824H8dPHbD178SYXR7SJJIKpmg\n1e7g1JthGSmuKqw2jX2vabc7VKp1Zo9NsrRcZWZ6nLX1TVKpJPGYTvGQLGbx2iqRgR9GfiSD66YO\nPS9JEkESkTOBja3ouiHrK51OHhg4trZq5PNZTqRu4dLAuvZGeKRTxh1sOBzf59HOFm/XNC41rzDa\nG6VcKHNrNihLDTOR+Yi260YsxmMoSoyO1iHlOpQ2K4wMZjtM0SOuZXjOdZFkhUw6Rb3RRJEV+maX\nkydP0mxdpNFoIkkic3PzbJYFfvRHg3O6dg1kaYlUSsA0BayBDIXreqCpKIMFfWhK5bgeoijwsLXK\nI50NjtkXeftAs0rxZFzcQIZ7R8DpdiXAxXU9stk0jXoTSRRIp5NhXyn47pLb5bJul/RdgQdEtVIn\n5Xg0ZZGRwXChZxdwLq0hv4zSlSuqYeBwXQ9NlclslGgcmyYHSIP3tQdBZCeGjxULI8jGCk58hG63\nz1alhqxHrpuV3H7bGSpekIGcO3eO48dnefvb38bVq4u8//3vp1bd4r777mN1NZgxyefzjI8VSKfT\nnDlzhkqryS/90i/Ram3TV3MLGbpzLklVIR+NfFcYYJOpQKb+ZqoBECz+w8BzGJL3jNJ6onxg8Bi+\n31EDx6sN30k+9XuCILyeYONzDfinAIIgjAN/4vv+O4EC8GkhYMnIwCd83//C9V7/Skd+JItt20Qi\nGq7rkkzEWFvfpDCaQ5blAy+0RCIWOukNa+yO46IMBuuGF/TS8jp6REMSRQRRIKKp5EeCYsPqwJ7T\nth2mp8aR5D74UaqVOj3TJJ/LhFnQ2mDOoG9a123C5/PZsKl3lMlzy/f4rLGBNahtW3h81ljn/lge\nFZGeXieKxLdrz3B39vXcessJqpU6uZHMrl7QFz/716S038DzJvF9n1qtTiKRoN1uMzqap1Kp4lpB\nMFn9/47huR7JVArXcbhyLk+3lwvZWPAE8+o1vvXMBFtdhfkRDwuI6HooDwHbvQ13ECz8gXe6ZVvY\nePz3bkCH/WTvMvdL46iCRM80GVy7xKLBAtA3LbrdHpqqhIrJRreHNNDqkmWJxkCp1+h0ERCCfwWB\nTreH47h4noeUTpJLJ8MW+pP9Ue5WE4j9JuIBjfXD4APlkTOhSIgkiZTLVXKOE1qoXrp8jWPTkyh3\n3b7rtU6zivvks/jzx5HT2+1Mz/f2ZbiO5VBvtjBNE0eL4EgSlcGl/sL6OkI2G1JshWyWi1sBA7+y\nvg5i8NmohQIVL3h8OP29OWC7DUtP3wkOyjqGmEsnuNJoh/fbXo/0wzCZit84gNw1QuOrGwc26280\n3/VqxmtDgjeB22aj/qf/44fp9UxEUWBsbDRsaifiUdpGF1+PIPT6B1pfNhot6p0erq4Tk4M5hJFo\nBEUSKZWrpJJxmi0jaASLIp7v4wx2zsXRHKVyNWz+Tk5kkaQIKyvrRCKBJwbA7LHJm5oB6XaDWns0\nGuHy2jV82TrUOOpLRonPtNfD4AGgIvJjiQn+UXz3jettqiycDJyDrl5b5MTcXDhhPzmS5y/+cwp1\n4NUQi8VwXAdJkjD7JqqmUd4IdtKd3vPMzc3R7XaJRqPYjo1tB4KAgiBw+xufYE5Z5GxzklJLZDYb\nnJso7v/7dcmmY0u7HpcE+Ov+En9hXcbEQ0PkQWWOt6vTiKIYBp3M4LvUIxqy6mC0vbC3Yds2ysD1\nbuh26Ng2sqqE31/4uQy+v0Q8iiRJtI0OeB7zkWU2nGnGX/w0qtVG3BHIfQ7mWviAj8Djs+8BUWRq\ncpxEIkat1iC5XmItmTySBat7QEaCqiLddgtGp0vH6JFOxQ/s8xmdLr2eiakoKL6P6DihU2BTPJzh\nlVQVUvL2dW8YHbLZzC4f8OFxbhaL1wJNr3w+Szy2vx8xxM0s6DcKIENl4aM0/pOaiqYIxCRln7jj\nq6ls9VrwuAm8fj7uf+UT/zM1pY8yUCxMuNvDWEMJ5su1Frrr4DsOUixGv22A6+LG48xnk2xuVolG\nI6iKjKwogdvfIGA4roumBlTceDzGVqWGqsih37fneWTSSdIZmZXlwP4yn8+GN0xU1+mbJtlMKnQd\nPApW10pYjoWVOLhRuLPXsRfD3ocqbN8IQw8Q0RID9tTla6HWlXAdcbj5bJJarcHZb9xN37R414NL\nmH2TK4vLRMY11I6G69iAyFhRp7xlMqlc5V9udXizeYrXT0QRxaDpvZfBpks2PVcCApaWLEl0HYt/\n1voqXX87S4ki87HofajSdrM3lQx2xZIk4Xkevu/T6fZCW9R0Kgj88XgM13Wp1ZvkcpkBK0wC38f1\nvMHAooMoCHiDQGM7NvPqNdalU+D7xForJDaeRzQNbEckbm4i4O+zqvUFkUsnf4ysKSH09/eVGsem\nw+wDgvJpc6D4ehBZQupXcSOBcoJ7+TI0tr1TpLtux+h0cWznyH7gEGQsrudSqTWQRHGXN8rGRvlA\n5uBwQ3Yz3uOHvfdhzeqXkxHcKIDUvri6a5JeFgScm1xff+lX/z3PXe28KoLH9z3QZwEAACAASURB\nVCYN4O8MAk1LhIaAKwZ+xiQIzYN2lohiioxhWciWRVSWUXQNUQxKU9GBXEazF+hhRaP6Pmpto9Gi\nXK6gDwQAh9mEpql0Oj3qDZt8PofveZQHuzfX9TAsG5FAvuNmMDlRDALIIY/v7HXsxbD3sTP7SNt3\nUvMdbp2LcmnT4syZ1/HouSa3Tp8C4MXlLtmETEKXiEUkXlzuMjOq8cyyRUzLYpigqxGeuOyRz28y\nf/L1mG6Hc2WPfEpmJBLDpI2cUPi9tQpf5xJxKcEpczoMxMO+BgztPS08T0cUgwzBcV0eNlf3/V0u\nHn/rrPOj+jyCsIciPFAE9jw/JD30TZNa3UUUJQyjE7K3et3eoGFvh3IpuzLLwe+kQRY03CB05RGe\nVX6VN/6AxeXLKitLDu+YfAT5ytcQHAtfVmmP3U5z6m6sbo8N3SeZiFOrN1EVJfAEP/cSuZEMravL\nxGoDBrwoItsOIzPTOKUq7CmPBeFzwOaLp4P/ho+VKkSA8pVF0m+6+5CrZD9kVUZGZmK8wOpaCdN1\nQ4fMsbFRzL6JoiiBAsAgs5kYL+yyXIbr2w1c770Pw3w2iTOgIN8ogIiCyJXFZfL5LFv1BvF4jGw2\nS7vVpFAcp9VqoOtReg9GSSSStNstbEnBaTWxNJXR2NGNuSThVRE3gNeCx00jIsto2TTtdiewWK01\nwoV95wXfbBkk4lEs28G2bdKpLJ1uj4mxUdY2ytAjXNxkWQ4bra7r0WwGuyJVUVBVlX6/Tzyq0zct\n8H0mJgKL1+HilMtlKHd6dHDJxxVcWWGx1iQrCbt8wofH73Z7dLq9ff2QfC6D3JRpU9tVutrb69iL\nXb2PwWJ7ca3HSFLhxeUu959J8ei5oB4+klRod7aP0+65tHsu2YTMUtkkm5A5MxNj+SmJrulx/5kU\nS2UNSehxbsnjza9L8sJyl0q/w9amh+13+LIXmPc8Il3hfeosqigjy1JI5QXwPB9NDqSxhou3Lfj8\nZf8yJruzKROPT1tX+SFnGhWReGuV0cZFZMvA1RK0i2foZY4RjUYRB3MekhToYeELxOMxTNMKNbNc\nz0MQgoV6KH+iqWqQfUAosSIIAgv6Mp3UGeZO+GyWVbpdeNs7JB752gPc8v2nabbaYdYQdz0YTNor\nisLsbEjGDf+ijh7BPjZN37JItDt4lSrlHRL3LwfrX/824zsCSOh/cQBqtQbNlsHsscmAVbdV29WE\nT6oKlhlco/2uSVJViLgObaO76xodHc0dSi83d2RdR9GHG+KoC7WiRZmbm+N3fidwLJyYmODjH/+/\n+a3f+i0+/elPMzExQavVotVqIcsybzpzD3/2V3/Ke3/yPbRMi5ZpheoTQ4iCiHfQQOirJ3a8Fjxu\nBpbt8OjZa0d+/i0TwSI1kgmYWfl8FrNvhhTfxWur+xa5jVJ5Wz6kXGWzXGH22CSO7ZBTZDY2yqys\nbgSBx/MwFBW30wuVeldWN8D3SUoaNUlhfk/jU5LEQ8tZWkSjGNEwmjW0Zio0jXqkU8a+weSz5Xu7\nso+5Y5fDx5qdOW6Z9rlgXOCpF4JSVgKwd7t/MjmSoyfJvLDeoGvlQYAX1gMJlaKYJOVc4emnwSgY\njPfGmIrCF8wlfHvQDMfni91rPJheQFEUhP72cOF2BiIiCAKyLPOF3iLuIQHRxeOR/hIfXHwK1e4g\neYNgapSJ1JdxIkkuH//HuIoeHntyoohhdHAdB0kI+kittsGwNDx8Xti8H5InPECA2UiJfvaNSATa\nTekkXBTKPH3OolAQqdV3y9JIkjjoy/hUa3Wisd1sPLNvMjo6EjCnJBkGmZIoy3iOw+wDbwGgc+0a\n5SuB8u/o3CzlK4vExwoYG5uMzgV+FuUri+Fjo3Ozu/okAoFwnbSnIQ+BVcHO61vyPCJWl2g6Tc20\ndulSFTUZURDo9Gwc18XfkxkNs+Ohreuwqa9FNJaW18nl0hwUOpaW1wcWtwK9vsmJ+WPAfk+ew2D2\nDbRInN/6X34DRYviOTZPPPEEF7e2ePs730VUU+iaNqoiY9kOV5fW+PG3/STF8XEqa8H16/h+WCo7\nmR9BHZiS/eVf/iU//u538+WB0nC3e2ONrFcKXgseN4HDnMsOQjYV51rF5t4zIyheBz2ug7+9M9rY\nKCNL4sBJT9y1yDUaLRKJeEgRbTRaeJ6HoiiIogSDvkg2myYPoRe6pirbpRA1MGqqdfo0BywYEZeZ\nieCGSyRidLt9otFI+K/ZN+mbFrFuGkd0Ge7nbN9jTL5xGcw6oB8CcK15hTFpmlPKCTZH1qi7HWKb\n+wNYMZvGse1AmXcP9nLurbiF2xD4lHk1zBxsweVT/Sv8TPJuZK+JaAgHltpEQcDE478bFzAPCR4m\nHn/Ru8gHrRbSnsApejZKt8781c9Tuuv9VIwGXdnkpeq29HrU1+h2+8SiOkanGwaOIYaBQ6dDQQwY\n61Z2m8qbG8nQaLQYT3lc2JS5dT6B0OvhOu6uY0WjOobRwbF9qlsm6awKDJhfioIkieHu3SnBXiL5\n4sNfYeYH74Mr2+e+M0h0u11io6PMPvAWFh/+SvicvYHCffJZ8HwQBcy+yVa1Hgx3blZ2ZQtqTMOw\n1CCLJjBY6mOzZdiUzKBwFhn4ZOxtdsN2ANnLBovqEWK6TrfbDzK5HSgeUO7aW65qNFrX7a8MhRiH\n//7KB36By7UWi9Wtfc8V4irLX12nGXcRDlgzhllap2Nw1xvewO/+u3/Hz/z0TzM9PY2mHj1z+ofG\na8HjJuC4HrIk4bgu97/hJJeXy8xPT/LoU+eQJYm7XzfBt59f4/67TvG3T7zAXadnA0rtoJFQqzVI\npZJhiUNVZEbzqfAmD3yOPXq9PolEHFVRcD2PZssIB+721oFd10XXI7SNDlMTaeJRHUEUcFoOTsoh\nqcpkJwrhVPzK6gaRSIRMKhEyW4YDbrbt0O0FJTJdjzCeKHCpeZ53JsZ5Z+Lg4cSjYsNdxltXufWW\nk5Q2K6wUggb/ziBy4WLgr37rLSc4D8h7Fn5Vj2H1OsQ341QKVZ6TLJw9i7/t+3yhc5WfyN6B610K\n+xM74Xk+X+wsYh4S7IboC/AXiSjva+2f3RHwkPotKF2EeND0zboJalLQkJZ3Mo28AwKU73NMusKy\nPcWid5xZ+SrGwAu7ZXTQozqSJDE5UURTazx3uc0bjkdpmkZI24bt0qcoCgiiEMje+xFcwDACiZZE\nIsba2ibCteUw68jdcorFh79CfKxAb4cLH5pK99nHmFfruE9/g2Q8S2k5h78QlKlGxwuUrywyXjyA\nAt7pQSKKFtHCgLG3NNqutYmmU6EN7IpxwE47HkcCdE1Bi8RZKpvMjAaLarvjMz0zhyIP1AbMLooW\nJZlyePyyxz0LKaJa0EOxbYurWwILEzqPvdjiLbelsB0fRRaYz8IXnrF46+syJGIChWI8PNbwfVSp\ns//cdmCvFNFOpN88hvF8jfjr9pNDSs02tW4HXVFIjYzws7/yAWRJodrtIt6EBtk/NF4LHi8TyZjO\nqeMTDC20Hdcll8zwjjdtN77XN2tkorFdr2m3DWRFIapHUBQ5dKQrlbaQJJGoHiUWj9FstvAATVUx\nLQvTtEmng6/LdQMm0ehojtJmJaCuCgKr681gGl2PkComKJUrpJIJvEFvpFJtMFYI2C5C3+bqxWDH\nOzE3Guo6zUyP02y26XaDXe6pkdO0rB7rxndWJwfQY3o4OFhkhLX1TdYLwTnsDCIvnr+ELg+k2Wu1\nbXZWMg694IZWSzqfEl+iv8ccycLh4xtP8iPphX27fdNXA6aUJNJzLSal2KCkJLC7eSygDeiyPeHw\nbFPybFKb52jF3o7YF3Elj6gfLHKO6KIQyL27e5KfW2KrbNo5Fv3jePgwLGsNLqaRXAbbtrEsGyUq\nDQQiLZ662mUs6TE9lmN5o4rRh5HYAroOlnUhaLiXPRTFIUGgyuz7PuVylUwmhRVboPtCMPFdPR+Y\nXRkbm2E2Inkmicf/hJzXQxwG5WaLKZaxnn6JauIehGqdgqbSurrMpmdh28G5j+gRmmvryJEIohjE\nS9/3dn0HuqqSSsaxTROp0w3+rng8ZDBFel0S+RRWq09+JEOt1qBn+8yMalSrgTtkMpmhVpe5Vje4\nc1bjQgkSukm7pwI2V0s2hTScW+oyk5fomD6NjkM+pfDERYOYJhJVPRJRjWTUZanS41Zdxbb6XNoU\nKaRtcgmBREzGPIJizPUCSGQyukuPS5uIIkZkat3gGu7ZNr3mUH4+2GF6ryL262vB4ybhuC5vvec0\nm9UWhVySYZE1GdfpmkGjL5sMdvS3nZrm2tUrTE2k2Sr3QrkLw+iEA4aVWgPbtknEYwGnvtMlFtWJ\nRCLU6o3QZMkwgtKHY9uUylVEUWCrsm14BDA1UWRto0w+n6Xd7qCpKv2+idHpMntskmbLoFSu4Ps+\nU5NjHD89RbtkUN4KXMympsYxOj0kOajdWraDsdxDliV0J0MvfpDu5dFhxpvcOn06pO1OjBdIdZIs\nL6/SKQQ3lF7XGc8UuPR8j0hEY2K8yNp6CSGVCqXdrc1NHvU3sdyDXfUs1+H3nvk6b3SPMT8SCBQC\nSHaTjg3yqMwPr83wI8rsAa8ORBBPrH+GWO9wHbEhZKuDZQ/r9h7iDu1f07F20YWP60HGsC6dwhd8\nZN8PMqPBgtE2OsRjUQyjgyzLGHYX8Vt/Q+7e95KI9Gn3PTZaMl1riWY/YEK98Xb45jehHZZHLN75\n/dO04+PEgW5XQJZXsG2bvmnhHZsin8tQKlfDv1XTVIqjORJf/gMkr7OvZyvioXkdjvWfonffr4Mg\nEF1c5vgOKi+xKKMn58Ky1d7Gdas5yMgUhU63R6/Xw3EUpnPBZmurWkeWJKxmj61Kla2tCsVCnmza\nweybZFIZbCcopGaTPXBbLC4aLMxMIkkitmOzMB4Fz6ZndrhtwiKTyjA1Ang26SL0TAddU2kZXZJR\njfsWFBAVRFHGtBwWikEAsi0PUTp6+SjS6zIzO8dGvUprx/ddzEaoZEDVLVAj9Ne62JU+Xs8ldZtG\nvy5jrnSI355B1OUjm2W9UvDqOtt/YIiCyDvuuw1ZFIhq2/XRd92/Xf8d/n6+mGVtZZmIptEsV0CM\n0Whuz1Ak4lF6fRPTtEKdJlmWSKVTSJLEVrWCLMsUCyNstDrosoRj2zRbBtlMilo9kOcIxAUdNkpl\njE4XfdA8nJwohiWuoa1rNpPCtm3cUZfNtSp900T3VGRN3sW3r1brRKM6prl7dkA3vvMA8lLtBYoj\nU1y6coUTc3P4g8B3OnIKy7IoZVa4wjXe9WCSCxevYNtFbNvm1nyGy7UWlu/yZ8oyT5mHs79M3IB5\nNXoM1/dwPR9JFGhbCuDRW7velnIgcqhE4QjeXbYS3TeQKIpCOJnuuh5puUNBqXKhN40sSYiihSzL\nYeDwPS/Um2+2WugRnW6vj+F0QvOcdt/jB26bJxGHixcvUkwx0OzymZleom96aJoaytmYnkGn6zJT\nTPG5b/TJR20SEQFVVeibFpqqYA6a1ZlUArl8GcncHziGEADNbGKXr+AU5umPjhCfnQ4fd598Fvds\nwHqTgb0FwWFe6ckyE3OzoeJso9FifeDUmEolKRbz5PPbpR7PHQxiDgKH55q0mm1EQSCTSnDuxQuM\n5LIBjdez+cojMe59k86Lz4q0pUvckm1QbycpD+K7N/igT01BMqWRUD1s4CtfyfDWf+Tx+NdFfvD+\ndvi+N4IoiDz33PPk8yOolsUjDz3Ez//8z6HrOn/4hx/jn//zX+ePHnqID37wV2kXW8hyMDukKAoX\ntypEjsVxWxadFwOJFt/5ziT5/z7x2pDgTeD18wn/0//XvyCdioMgcrVWZyKZJFX/NgBbkdeRSMR4\n+Gyww1yYSjCW1ZFEk6WVejiFrioynu8zkk2zXtoim0nRaLYHQaHOzPRkGAAkSQybeVuVOpZl4Tgu\nEU1jZCQIOroeCQNFuVylN2B0DR33hhgOromCQL3eZGKiwNUXVjh+OpDabrc74fsPB8qGtevVtRKK\nrNCOVPH7oDrB0Jwn2MTkOC27jaUGuy5Rur7MybHUHJsrFYrFPMurG6iqjCTJtFptRnJZKtUaYsGi\njR2Ws2695QSm5/Crlz7HFefGAUxG5APJOb6Paf7cucI/zd5BQrBYrwWBI/hYAqLC3r6IJEC8vcbM\n0sO7Jr33whVlrs08QDcdLKKCICAKAoIoIgyW4RnxEpfMmfD4+ZEszWaL0dERllfWSSXjpNIKserz\ntFN3AdAYyM2veYuMRybIxUd5+GyJhHuCWg3e8fY2Zt+kVK5SHM1Rb7bJDP3UXQ89oqFs1WFiHLPX\nodVqc6Vs0+7vafzjEVVsJjIqJ6/+NVprt+f2QbDTExj3/SKiICINRBT7fRPOPnMg22qIoY7a0vI6\niWaL1I6NiT85QU0MKM6SKKBFNDY3g83NQUKgreb+QdbV9RKuDyJ3oqc3mSzk+fqzlyjoHdK6Sywa\nJe7VeXIrjSdskz+6VvCZFCNBmVTXYbF+CYCoKlLIxsmPaLvcDHdCiwS9kv/nT/+MhYUFcrkc1WqV\nk7e/HtW1uHDhEgsLJ7hw4RLnzp3jzJkzJJNJcpNTYflqJ14bEvweRjodTEBns2k8JDRZop9/I0vL\n6yzwPFvuLPe/bgRJFPnKs2UurLQRfIe3vmGSxWurjBfzaLrL0lLAfy+MjlCrN4KZkXqTmelJ1tY3\n0VQlZJWoqhqq60JQprIdm/WNTTzPZ3Q0R7PZRhRFbNthcqJIrd7Ecz0KhYAfP1YMMgtFEoN5k4EO\nUD6XCYYLjQ6NZputXpMZJkkkYjSarXAupDg6Qqfbo5A6CXv0GZeW13HinbBgI9nKoRInAA1nC1GW\nubK4jKIodDo9stlMIE8Ri3Iyk2Jto8yJiSJneY7YZozFa6t81ry2K3CkUEgOJv0FQcByt+85TRao\nOwJfdlb4onWNMSHGz2SP7TgLMZR4F4Sg0TwMIr4gYCQnsdUEaq9+oImTh4ClxGnHJxB9f3AMCQGB\nvmlyXC9huhKXrWOhwZPneVRrQXlmda2EKIq0DYNsLthpK4OhtnQqSdsIOhF2R+Rjm/+VW3mAkwuQ\nzYBteWFZaEivhiDL6fUNat0e2dVVygNCgOt5FOIetx/fVoE2+yb1dpelks2FssBCu3ro97UTfnOL\nh8+WiKois/k5ZmZ8XnpJoSQW4GyJU1NJJK9AJOoRjRI2nXdmE+1UnNjoLI2mQaGQw11bJ7e6zVpy\ngRGgIqhsbjUZ8XePrg6zmOh9bwob4JF4kURMwHY8FHmUp59+moIOJ+dmw2FBqR9jwjKZnMyHDoiX\nlivkMzNcfAliMZic9uj329iuSN+XWSo5LJZ2Z5b3LCR59NGvA3D7XW8irmt84AO/HDAhCVhUNdNC\nj6eZWjhJxbJZWVnhn7zvfTzypS9x+o47sG2LQjyGIMl87lOf4s4HHjjS5/9KwmvB4yZh9k2y2TSb\n1trASy+Qgp6ZHufSqkDKbpCwF7nQm+a+M3keO1fFF2S+9e0EU1O3UGvAqNIEPHwfLMsiHouGNMFG\no4UoCOTzOdbXS6yulchm0miqimXbFAt5qtU6lm2TyaTRIxqrayXS6RSWaWLZ9i5PD3MgS75zvkOS\npF0Djd1uLyypFeO5cGJ+fCzwGa/Vm3ieRzaTOnBQK9gdjlParNBQNnEV+7oBpNdymZ2cYmV1g3Y7\nWCTbbQPbtqnV6iSTiYH2k8idqdt4fGWduG/waX93076Ly28LZ4ipEVZaKnHVo5AU8SSJq5s+CzmJ\nX976GwA+2b3Im8UCAkKYjQl7hsQEQWCYqEmSxPLCjzL10kOoloHobf8trqhgq3GWT/4IES2CKApI\nkki312dUaZDUG6xwEsd3cAd9GT2ihRPS+7XHAsbRFz9zHIC73vQUelQnXs4TSaskusFt+tTlS9xx\nLIKiKDQGg6S1WoNYPI6myniuR6fTC+cjhsKQuVwG3wu0uErlKtlMEP1VSaCYUojqKmKJvQPnB0KW\nBB64s4gWiQM+XdNmYkqmFGzWeWmlxekdAoXDQHPPLSOIkogsS5jmAlqkTWdjhMfPXeHNd53kbHOB\nO+/0OXtWoNQPDjbMjM7ZGU7NFjk+FudrXxN4/Z0e6888TffFa0xNZjj/bJof+AG4cuUyrYH8iq7r\nOI7D8tp6kBkBo5EuEaCyFAQqRx9nfnIEMPi+u7evhaFZ2WH49pPP8M5//EP8hz/8P7l06RK5XI5f\n/MVfoNMxQFJ55pln+dKXvsS/+chHmFSztNstvlAq8e2vf53FxUWqf/7nVKtBsP7Ar/0a733vP+Hi\n1o37a680vBY8bgKCZxNrv4CjBV4Tx7PBAj0xUQgNjKK2TEkZY17dYL0ZYX7EI6100Ec9VpdFcrnA\noW5mepJarREGjaXldYqjOZqNFogiyyvrjBfzlCs1ms1gctVxXMrlCpqmYpomJdNmdqDC2+100fUI\nsiyxtVXDcRx0PYJtO7tKMhsbZVzPIx6Lsra+SVKMBWJ69SYz0+OsrpXQIhq1epNGs8X4WIGZ6XFq\ntQZto0MiHts1oLUTxcIIRUZYXF/CjBjIvRiOfgDdsSOz2Fkln8/RbhuhPMXU5PiAYukSiQTzJ81m\nC9OVeSlj4LR3r242Hl+LG9zTCkpocanH8WMn8QWV6Un4ZPlpvAGRyvE9HhNW+EFxu05fN5tktfSu\nYTRBEMKhPltSeenEu8mam2hLT5KLQMfXqOVvpZOcQhRFZFEIvEK8TcbVKtfcOWrkcAaOgaoi79Nv\nMowOqdReU86AQuzjY9k2dttFGWif3dp7CwYOPiK27aIoCulUklq9iWU7mNUa8XiwEUgm43SMDrpx\ngTPVLyO6Nr6ispk6SWfyblLJOJVqnfFinkQiFloZm5E0crd8wFW/G1ZkuCkJgr4iiBitJd4s15Fu\nu4XSZoJqFfSuSPaEx5jexndiPPJsaUAn8DC3oGDUqDy6jJrY5Btnl7jj3nnOn58ml4Noz2FqKs3a\nSoNisYjtungXrrH4uMUdKQ33Gz6FyiZX9Tfgmh4jI4E98+REEXZsbHY27rvdPhFNZWWtFIpTnlDX\nscQ8vudfVwdrL07MH+fZ517kQx/6Ncqbm6yurSOKEqurawM9syYf+tA/Y6nURot4qIrCBz7wy3zj\nG4/zgQ/8MhsbG4yNjVHe3OQbX/0qr7/3+2nUbHo9B3cvNe8VjNeCx03AFxWu9EaZAWaaK8AK/ZHv\nA0EMWU1JXUNWVPxuhynqDLWyF7dEjh8r02yP8sSFJorU4v7bC2xt1TAti4mxUfqWTSqdpNkymJoo\n4g6sZ8cmR6lWgqGrbreHbds4okRs0ESPx2M0W21SyTixqE4yEceyHaLRCEvL68iSxMZGGct2wkCg\nRzQ8z6PX6pPg/2fvTYMkOc/7zl/emXUfXX0fg5nBzGAAECQIggRJ8RAliCIpS7K4MqHDjnDEbuyX\nXYdDG7bs8Ho31l+0u5blDxuxsbLCK60dEmWZpEiZFAUJFEUCJAACII7BOWff1V13VVblnbkf3qzs\n7pkeDMBDImQ8ERPTXV1nVub7vM/z/I8CtWo5E1fs94csLMyytT2tfMrUahVqwGAwOpZ0dThuW1zj\nle6LhNYYwz5gqk/DyYud9ti2OH/H7Vy9tiWqjjSBDQYjnIlDfaZKq90lIOH3Ry8d+1p/PHqZ2/0F\nPnq+zuWrY1Q9zze/KfGeDwT8butZ3FTw0CPis6OrPJBfQZfEXKNqlEECKZFuYDOLKkRGUWOkmTt4\nVc1z96kVtjb6kLLUQRAO54OXaGrnGclzmJp47NQ8anQMj8FxvSx5rG/soCgyp/WjiWs6M0nimJEb\n896zVZ54dUCSxARBkD1vlPIlisU8URTjt7Y4+8x/QErig+G3F7Cw/13mW8/TfPevUCgUCaKY1tYu\nhmGQy5nE5z9K8tQfvq46RgJ0F9/NYbroYYmN4WBEzhxhLibIksTebkC5VEJVVe6cE+eMYRZ49H9/\nltEffpNVJCFPr8i0/uolcp+4A/Nj54gijb3mmGKpwE6zRf67TZI/eRFFgk6KrJbiiBMPPYFx+gzl\nNUXAej2PSqVEzjSRFRnDNPBcj25vIAQpZYlatUw7NRGLcsvIwYRYsSgMngLAbbzvdY6AiEqlRKVy\nHkhYWJhlYWEW1xllG6of/+iPAbDx8kXs0GAUpAZbuRN8/VkxV3p1T/wvlU/x7Et7FLSQ0/N1dPXN\nqwj/TcXbyeNNRrFQYHN7D884SzGOmUs8zPZzuO4qyzMme4OIMtDPnScMfGrFAb02LDVeQhqDM7H5\nsdMqL+wpYghqRJxomPhBSL8/oFGvMp44bO/uI0tgGqIt1UghjeOJgxNGEEX4/QFTupiSyroXchbD\nkU0YRuRypsDVhxGmIZzv9vY6xHFErVbB9XxCQi51hyhD4UGxtDCbGUeVS8WstSWMk8Tz7Le7WUvr\nVhEpN8JppwP1wHTo94fkcxbVSgnX9djd3c+k6O0NhziOeULZEOqkx6xsQRJzcWaX05Mi+pxol+Ry\n8PnWBYL46GOCJOZr/hYfN9aIkpSHnQh0VKFQyMQkt7abJImoAKIoJklc5osNWvuuGMqmENtTxjp7\n0QLbyllIF/GpR8Th+dT2zh4kkM9b9PpDNEXm6rWtrH0WBCHoZAlMlpXMt900DGCElh5r0zTS+YpM\nFIWEEVTKRUYjIe2+/PR1iSMNCSCJmH/6P/L8nb9CqVRET/W1BsMR8WDAG3HT0E2TOIrp9Qa4vk8+\nZ1HI54hbHcLoAGMVxQmapuL7AbIi02n3GNpj1CfWWXnuIvjivjKHEEZffolRGCJ98CREghyrfHud\n6OHXkIKjw/4EGP3Bk/R7ffRfPktj5vgNjWEaNBo1bHuCpmmZ70ohZxGZVbTBq0jGTJY0zNbjNySQ\n60Uagde1op7Grdpfb/V4O3m8yfCLEQEmmu1Qma3j+UDjfczbbSxnA1jKFsOiOAAAIABJREFU7uu6\nHhzqTkhOi2UF5FDhAxWHV41l1nsa+60TzC8kqEadyWiXJEmolIsZO3h3OE6tXD3qeYNk5KDqZjaE\nnA68C4U8W9tNVFVhPiUDKoqC5wXZyS92qOLCLZeLXGyN0G0fJXXYU9P/p17pjuOmbbbFg2SRJAwG\nQ+EjYo+p16tHEklzrw2pmvmxbas07GBAWaui64LjoCqK8ANP318cx/hJxF+pl276HEii+vhY/hS6\npPDizg53NS7wT3auEUhHE9dU8PDH9UV0STswhoqFUVMQBNmCHqWy6wDjcYSERJyc4OWX4YG7n2FO\n63DJPyHUe6X4YH6Sth20qY6ULL4DXVOpVErstIdc6cpMsbkSMadq08MqkpLreSiS+F7HqdbRoy/1\neOeqkfGEgiA88CRRVfr9ATPbTx2bOA4dKkgiZlsvIC8uIqWy8JqqUe+9cktNPgko7DzHaP4MhUKO\nulnFcz3anT5eJDPsHjgCqrKErCrMzzayRbaw59D96kUIbsLs9yPUr76GslLHWS5S2XfxHr4IwU3g\nq0GE/NVXSe6pwbnjk8fu7j4Lcw0qlRJbW7spQdeiXBEJ1w9mqZcPiL1u/b1HpOlB+LVcH839Drmc\nRT01XTvsQ/J6QpFvJOm8VeLt5PEmQzdlJiOhKTQ9CVw/xA11pOo7ODG+TDIRcg8VBdSuz5wMdCFE\n5xXlNPOGWFkrcZvb7vJBHaNpeVw/Qc3liYY2iqrS6g/Zc31qikRDGRNLBlvRhJycQ5YkSBya++Os\nxTEcCSVf0zQz2YpczsK/ztdi2uLY328jqzpWDFPKxJUXN7P7LczWCaMYezRh1LTJNQRAoFI58Ao5\nfNGMRmMSQ6YrdzPk1U3nHmm4roemqYxzXSrBHMmhRRvgL4ItwltMcgNivjm5ysfypwH43e6Y4CZ2\nrhExj/jb/PLMaWLJZ2iLnagiy5loInFMBFRKMZvbd1CbH/HkhSZnV7u874Ea+/saXm4FyzBwUsip\nNB3CIyFJ4GeCf8L/fGHtBC9f22d3qHJ27qAysQONS92Iaxs/iWmYuJ7L2upiBsWt1RsET+jojVeJ\nk4Th0D6yw1cUmU6nx9rqIoUX3lgCaHReZtf7SOZ50pipYYRvgE4NSO4IVVfZ3hDzkbXVRZaW5og6\nXXJzDSRZQj7Eyj/s5ug1B7wRIVvdDqnNz7L71FOo3EpoVqKwJ4NQ+sceT7BHY0zToNcfsrayKHxT\nQmGhMNeoc21jG7kv4/s+uqYdfTpZQhtdPJI8pmGPJ5ne1lTc1HM9cjmTzrc/S/2BzwDgOB7F4o1L\nq+eHRxJHEieCGDxx8DyfYiGXaZ69FeKt02D7EYluS0GxnSML8l5K0Ot2BwTls+wrJ7nszHNxPMsr\nnOWit8YF5TybxlmKQUAn7bmGSoGeXaHXH7C/t0Op+whPXGhxqS3zxKsDdAkM1yGJE3ZHMnLicbK8\nimnowuRHsrIqwjA08jmLkT2h1RZytYois7XdJE4S9vY6jEZjer0BXqo2u7AwS1LSUUsq5fkijuyz\ndm4Jrayydm6JfmijlFRqS2VanR5hELC/36bbG9BsCsSK53o099pEUcx2cI0d+8oRnkdojVECDSXQ\nUJ0bxRA7yi6O5FJw6pAk+EGY+VskqsTngstv6Hv5T8MXqapj/CTis9H+6woe/rF/FUO2qOVM1hZD\nVlfXCMMQezxhZI9Rpm27yjLvfneCMdnkkyvXqFghqrKPpOq80FR4dsPjtb0YpFMsLi6RxDFhFCIt\ngh8EOK4nvFpmT/HyyxJLNZ37TuUpl4qUSwWKhRxlM+L0TMyDDyaEEYy9hAsvFilV6lxuw3OX26yc\nvsKH75mn0ahliSNnWSym8GvLNAj88HU5KYdDjgLK+S5Lcw4nVyOKuRZSTrv1AwFPEZsFRZGppu2y\n7Z094jgW8O7+EGfi4EwcfN9nPJ6gyAq9/pDJ+NaKsZIkCTZ84JPP52+dbA79fTQaMxiM+Ne/+W+w\ncjna7Ta/8+9/j28+9jidzoBavcbzF17GcRyWl1cYDIYsr6zynaee5XOf/1L2PD3rziMy79M4Tqjx\ncDLofPuzwMEc6ob7XjeQl2SJfM5ifm6GtdVFarVKdu6/FeKt805/BGLKhjYNI+MIrG/sZNDHQiHP\naDQWdrTFImgas3mLtTkdZTjE7fZwPY9yqUCn00M3oVxSuXhJQFCvRad4/9kC8xUVKQnZ7oUMA535\nxQVOrp3Aqp3Ecz0G/aHocUPW5pAkiUlqf6uqYkDe7fZpzNTwgwBNm9qvChLWpe4wUxYNwwjDNKiU\ni0wmDivLCyQpNLfb6+P7AfO3ifbDwsIsxUIOXdeYTFzRU56pcXHw8pFjFUda9i+QIdKCYysQJdBQ\nfVUc23SlmO7i/9zZuGXVMY2ImN/ffI1vDS/elHk+DZ+I/2frGS61XbbtGq6nsdnxudoJeW0v5tU9\nuNSWeeSZJsP9ayS5BV51lul0enQ6PTQZ3rGic9eShqYqSGYf0DPEU+QIHw+A5zc8Hn3+Ne64I8H3\nPFzXx03Vi6feHnEcI23+BVHkUbIUJhN4+GGJubLGfndMcxBllrf1dPZlGBo7zX3x+CQhjiNISXu3\nili5MVEEa2dJlNdvRESyRn/uLkAs8p4fCEXfVBkaxJysWi3jeAefceI4eH6AoijcmpOcECQhYRDi\nOi63rjtAcbswmmDb42zxLRQKvPc99/KL/80v8O1vf5vhaESpVOH+++/n7NkzALzrXe8C4JFHHuGX\nfumXsudUJtsMjxNsPBTKIeHL0A+pP/AZpLMfF94u6hsXN/xebHZ/VOLtttWbiBhhXhMHB1XH2uoi\nrZbY6edyJkmcsBdEmLKEIksUNLFgTmXXFVnGkcQiPxkHSBKsvXcZOpDHQhlv8u7igPHa/byy3qWW\nu42xI2QTHnxQ7HTWTixzZbBBa73D2vIy/d5AOBJaJoqisLQ4d0SaupDPUS5Pe7xhljSuXtsiKhfw\ng4DRaCwWqCQRftLpIhVFMZEc4fYdoiiiWMwzsicZsmR9Y0cM2RWN8NDO91YscxAJBi2gwy5ltUEY\nCqXhaQnveMdrVx0Xq1qZRFIZTMas6iWu+v1j044ELMp5EkXmalNGU202vXlWVivY9gBdE9/0SavJ\nvnQbrZFHRQmolMvIssxgOBLClL5PuVTk/nMGFy9WyOdGDIc2hUKO2eICnmbzyDNN5ssKBS3m2tUr\nPP3YfSCJtpYiKwftpyThquLR64hjrigKYRhxdb+KE4rv8K+ukRlL3fnub2V6ZpBuamSFwdxdVDef\nvCViKjp59obbw8YSsVVAtgfHkiITSSY0iwzzi3RThJidVhKyLJMU8zCaHBksV8tFeoMRvcGIer3C\noNDljSyr9ZM1dvpD9KoFt/CRIQG9KGDDfhBSLhX4X/7lvyDwD9pwDz30EKZhcPnyJUGg7fbY3dnB\nME08z+PX/+mvMex3GE8carUKJalPUjjQPUvim2S8OGFra5fGbB0VNZMBmm7sDke/N6RS/d4tdX8U\n4+3k8SZCliTG7c4R/w2AfD6HlcvRHY3pBhGnKkWBuikXcFwPxWtjGiZBmC6oExgENoqm0py4/OrD\nD+BG08vq5hafuc/GPPZzQhV1uzvh/WsrXGldQvcKrFUrjEjwPZ8RZBfx+sYWlXKZ3eGYcRiBpnFb\nWeBqVEXG1scsLBQJQz21MVWJ4pjhYISVs1AVhXK5hDSO8dM5wvxsPXM8nC5ip8tneKX74rHv+3rC\noD4q4hdHRxKMH4SYhsHcXF2gkwDrTZyec3KOn1HXcEIHzd9hWxodK7muI3OHv8Sd0QnOL6k4HuTN\na8RJgmnIzOkDSlKfi94a5omY6EpMp9MTnueqeqASG8eMJw7j8YRicZ+NTY3mIIG9MZ+YE5DU1XJE\nIScDgushyRJJIpJAnAhPclVVRMV1nZbS4bkGCOHd6c69Xq/Sah0wwoulIr7n0ardTWXrKbjJ0DwB\nkGS8k++48Y+SxP47f5na03+A6o0OzK+ARNEJjCKXT/40SZJkSUGW5YwbdFjMajIRC3cQCaBBuVTA\ncTyS0zMUH7qf0WefzNBWR96fJhN//CytkoUmSfhrFZQHz6Adg7aa3j/8+Bms22VsQz+WezQeOyiK\nzFyjxl6rm8n3qIqC53lYhmg79Qc24SGhzeFoTCNtSR2ndBvFEdHL+9TaNtFVmwmgzBRwl4tZKxlE\n0vD8AD/wGTtCLG2mVsFxjn7fB4nlbZ7H38pI4ljgxYPwkJLqwdDY9gNO5dUMrgmiUmjt7+Myl3le\nR3FMUCigug6a4xxKHK8fk1DOdLM+du855GiTb9kj/sGpM6xf26LeqGNPHJbTNtrWdpP5+Tk2bYeC\nP+H0fCPjbpRLBSRZJukktD2XuTmRbK4ntFmmIdjJkXswXzEN+v0htVqFkT2h0x0wN1dHCUQ7JNIC\nVEWjnmtQ1cRuutvtUyoWUDWVVziaZFRFo16v4nse2zt7hGHEYGhjVfKY+zLu9W2oJOtwkSQiqU8i\nHz2n4YY2X/G2burV4RHzTfUyn6kts97Z49xiHXui0cj5lORtNjnDgFni2IVd8SKClOkTpcS/OI5R\nNBXHcdE0FV1TKckhlTmZldVVgiCgPRygKknm27K13eSu+3YAjoU4n9av8Z+/8fcAOPvOxzNi5+WU\neHyqFk8Fueh0OKJZNp2hxXHMK7f/HOcu/vENCSRBVA+Xzv0CUUcg7gQSz8dIxRTD0Kdz7hcoj3cp\n711A8W1CLUd/9k7GpRWQJKIgZJiqAkw/lyRJDO0JE6UPw2GWYPt98bN7SMeqfa5C4efvIfjCcxwZ\naCQJpc/cT/7B89lNe3sd5h76AON6VSScm9w/aj3DYDgSc8DrYpqE17d2WVtdTD1zYK5RZ2jb1GoV\ntrf3sCxDaNalcSsY+t4XnkJ7+DWub6uVHrof+YG17PebVRvTWYnjeJTHL0AbEq34FkodbyePNxWy\notDudGnM1Amj6AjTeuB6eGFMQdduwIU3Vs5hTxBMcUXFjRM026Zcr9LvD272csfGyVpIjMmT3yny\nznvP8dCJcximTLFUwLbHxHFMq9Wh0RDVwabtoNk28+n7LORz6LqOYeiMJ84RhrsswdVrW9x2Ypko\nihmNbOFHEcX0dwacvGeNfn+IPZ6gaxrrGzuZ+q7netw+d0ZAI2uzN7zvaUk/DWNYxisN0EdFJElm\noIpjI0tSVv38veJZfjKcz1znsu9Blhn7cYZcchw3G2Z+LWzj36DpejR8Ir4WbPPTjRWsnMVc8Crb\n4Vm68Wk4Zl6iyEK2XJGFBIksy9kCKUlCQdfQdYIgZGdnO/UvP+RjYZmCkOl6hOkwVZFlJFlGloQg\nIIc6HXGcCL6OPSZBpaiH1Bt1CnlLyJHkLGx7guN5qKqaIbyEQOYyg9N3oD32x+jjK6hxQKIZdBt3\nsVk6x+Li3BF9q51mi2q5mPmFe66HsTTP5MTddDtdVFWl0aghjycMUgHGOEkYDG0WFmazxXgaUwhx\nzjKJ4wRdI1PyDT2f5dVFJjM1DFkl3D7QKVOXqkcSBwg/EID8g+dRlypE7QNTLmWmgHHnQaURJ0n2\nXnI5i2qpyF6rkylPN/eOyn9sN/ezazdJYiaOe+QcPfzz9WZi44dfQv/z4yHEo88+KdD56WeZKkcc\nB8/d3tljaXEO2Q4zbslbSaf27eTxJiJJEvL5PKZp0Gp3sKyUVDawiQbD7GTs9gZ0eyIplEsFKmWN\nTqdHHMeEckRkWWi+2I1db1h0q1g1xWvOnIVnn5HpdECfvci7TlWYr5kZjrzfH1KqFXFjGaskdlT2\n2EGSJAaDYbagjUZjJFnOhv4gjKk838PQDfL5HJoGlmWgKDKu52MZxrG7POCWUMP1jR0UQ8MrDTDs\nMpEaIodQrZQZjmyhBJyTIYauN+A29coNZ2mATlctQgBFCQpMyCkunaiGT8SKVuJaMDh2FycDJ/QC\nBbnNaRLsrsVeXEdVhkdexjKAOEBXfYgDiHwKGqxYB+2ibekss8lVnCQHeh4ndAEdSz2a7GqBqBa3\npGVylkkUx5iGnrHYB4MhNVVUUNOQZEkk+mGAqSYZSbBcFsm+Ui1TT90ndU1FlhUGw1EG+1yqnqd1\n90/Q6w+57cQyze0mcnquRVFMt9tH09SsgjncRlnf2KExU0O61IaBx6TYptfpIVdzhPesCLKdIhP6\nos1TLhUwx2Nq87OsN/exTIMwDMnnLDq9Qaby3NzvsL29R+HZPZzPPXNdJXEFSVOOJJDDkO3DieK4\n8HyfIA5ZmZ+j1enR6gSoqorreeztdQjDMENQlUuFI5az87MNMdSfIqwa78NsPc6rzirzs/Uj6gPe\nizs3bbsB4EeMPvsk6lKF+GTt2FYaQBzFmSx9pB9cS9frrf0ox9vJ481EKjA4GI4oFvKEUczLlzeo\nFnLYhR4XWzZ1oyH6qfkhJyuCYTrY2ySOJUxDR5YVdENnoSE8qm8l9XF9dJdhcsXjzAlI4m3U8xpP\nvArfvdxHUyQ+dI84IcdBSDlXpqorgs2c0yjlLcJ0ZxhFEaqi0O0NKJcKRGGEbugZKdCyTExDT4fk\nBaiKC2h+bobmXjuVbxczkqnsyfrGFo2ZGV5qvXbkPZ9vnMl+rlXLNCc2SqDhWBNM3SSXy7G33UbW\nZJE4AnFxSTmZV+1VFGQqlTKdToexD4szJX7n//t/ee9PfoZTM3U2NrZYyM9xot7g1znJ//n0l9lm\ndCzqSpdUvG9e5P0/8atc8g9aE4Z8FKnk+4FYNGINRVKhYDEB1Nka3npq3jUYYc2cp9XuYmEg6QVM\nQ8yOpvL7AP1QVKGWqWQ2v+J0EsfUskyYdkGlgzaZoij4YYKSNxmOxphBSBzH9FOJmNHIwzB06tUK\nO839zPRKUxSMWkh77FMq5LHHTorqCml3+8RxjKZp+GMBp91ptpCBi5euZZ9//3OPY3ztKgHQR7Dx\nJaD30Q7eewQRdipCOB6nZdPlq5SKYs43rZzyOQtVVRjaE0zDoPDcHqPPPXPs4jv8gyf4y62PQMnk\n7vsfv+HvNwsFn0a9yrMXm5w+YWQoNl0T7zshwdB17BToMZ3JTCOKI8IoorffyRb7SK+y1hBSPoet\ndKO2zS3xw5JE1LYxzx3obE0mbtbe3t7ZQ5YkFhZmUe1NgvIBgCF+C/E83k4ebyISSSKIhJ1MUCig\n2DamLBBUll1lYvbYD3fAAj2VCm+1e+gIxnEYhnimhtLt0fF97ImD9SbZpvlhnsZqna3NdVzPwzRN\n7lrSCCJ4tRnwyDNNPnhXHdkwGLTb9JOEaqVEPAlAt1A1lfZ2k5l6Vfipy5JwEpSEB3a9XqWcViq9\nwSjjP9T1g51aY6ZGEsesrS4SxTKKHAuylJUjlzPJtwuMLdFiqOoH5f/m1i4rywu0YhOpJ6NrMrkF\n8fm1OgSdGLOgZ+6Mzq4v2h9hKAyqrBzz86WM8dvf+C7O6vv54he/yO7uLr/1W79FpEh8mc2bwnXd\nJGTnnQ0iOcmQP7mcAslBK6o5alEzxPuOEpCSBDntbYfdiEAKSZKEWrWMIkuYhoGuaxkxUNdUyuUS\nE8cV1WrqR+64HrVqOdUsi4V0hyyL+dmh3BWmdrTTQW0UuPiBngknxnGMH4SMJw5hGBGEYSpjAsEh\n9nY+J3hAhbxFIW+xvrFDuVyikLcI/BAJ0b6p1ytZ26/fH6J8a53x165BcOPgPf+X19A0jeiBNcGi\nT5IUQSal7yVC1zVse8zaiWX29wXAJIkjnJd2SD779E137VIQI/ccEkNlfrZOq3MT35Y4ySTVp+G4\nHu+9e43QDzME5NQ/JJqaX6XHNboOjGDbE8qlIrpx8CUE5bMQJ9RqlZsKgd4q4kRIQU4ruTAMCYKI\npcU59vaOl8C/3ljsRzneTh5vJpKEqFAgApThEE1Tca0cnueiKDJ15vGdgIEzhBnwh20sK09k20iS\nhGtaaI6TLWuKItM+JOnwRsJ1Xbq9PoosE8cJXtr3zpkqH7mnytOv7PLohQ5lS+a+Ow7c2hxZwUkR\nV6amYttjXM9npl5ltlFnPHHI5ywhb6IolEoFkjimUa+iahqT1oT9a20sU+yeWp1eprc16A0pV0uY\n6IyatqhCtncY6zb+IGSiufi+TxwnRFFM3s3jah65NYPISRVse2SsI98OMWYi4jjHhauiBfTJlQ0u\nuau0fJ+FhUU+9NMP8Y0//QNOnTqVqZTu7TX5K3n/ljyPWJV4xNvkZwqnicIIx4kBDz/d/hfMvOC+\nGDo5S2XiuCiuiuN6guMTyjiOi64JrovrObieqAKGQxtFFX4diiK+I90wsO0xnudnia9ULOD5R7kE\n013nYekRkHFDsTDHcZz137u9Acv7qQfGfovrtyA+kCMVAExvW07vGx0c6iO3ARibQwZfvAQ3c7QL\nIvQ/e42yGaOvvD70NGp3OFxXGxtt7JvBXg+F6vqoF15hAYhSl8HXizEWRa4SIaqjCKgBW45LnLUI\nZZCkzBdnMDwwlJIkCb/TZW52hk67R32mKgQTNZFQDf2NESiz50sitNFlCj0B4V/SLdScSD5T2ZI1\n+SK0hPT89jiHLAsjsb+VlYckSQrwFLCdJMmnJEn6X4H/Fpi6uPzzJEm+cszjrgEjxHcaJklyX3p7\nDfhD4ARwDfjFJEm+P4/TH3JIkoTlCCOlVhQycVw028bIWYwVFRyxGJStElE/ZD200XUfLZrgFApo\nzpg4FuzgQiGHnrY43kx87GsP3OIed2JIId/69CZb+9PdzQGay0QBvUgEaGqegQunGjN84/lned8d\n8xkJDcSg0DBFGyC2EmbnRfm+td3EqOroNQND1+j6QwaRzfLSPPvX2my2dkDRyTuiAhkPfU5VFgAI\ng4C5uTotVby3ZBLjD0KsBRNv30etK/h2iNdWyM8mSEnISlnmkn+CIPI5XXRItDVGbsynH/r7TAZt\n/ud/8c9RNY3d3T36lk1VteiEE1IBVmpKjrpmQeTgBBKaqeIR0ZipZUx5gFBx8FNpjVIsFo7rvT+m\n3h3TmZGcSOmxiikU8vR7ffK9TRb2X8SIXDzFpDM8R371TjzPR1UUcjnrSD//+gXjeij4bC3P2qL4\nXqaAhtFojHIIPTSN6YBYsTfohBUcx01JhEKGfNouAUFuczwvG5Zv7+xRHugk0uXX54pIEp1Xh0jP\nddCSdMErmSTvW2Phx84LBQNZYeI4lMpFXnr5IqduW6W38ayY3dzKatU0kd51N51un0ajxmg0pt3p\noaW6a4aukSQJjUYNVVWPFTMEkRjXN7ZulMRPZUam7piaphBFcfZ6AHr/+ew582lVJgcTLG2DURy9\nLioqQSa+7R7cxiKeH5L3d5EGr2btqevf79yhx76VGOZvpvL4R8DLwOHtxm8lSfKv38BjP5okyfVu\nJ78OPJIkyW9IkvTr6e//9E28n7/2kCQh3R1HMWEYZvpRnudRySuQs7DHE6E1Jcvouk7OMmm1x5R0\njwgZWRbQRT8wiaIog0n+IMNLVB554njOxXHx8tUmn/rQO9lrbiPFMVEkGMMJycFO7NBJPTWDGrV6\ntNLBf6VSZn1jh7EzJi8Life22zsy7zBMgzAImUxcIi1BsSRiD/Ry6vRWSnfe+CiRysZGi1KuzsYw\nhiEUTRNQsVwhHW9IAROE77fvh+i6zkfjOT4fvZRd3AkwDn1+M/c+zpe2edVZzRbm5l4r8xt3Yo+G\nMYfreujtK9S7r2CEDqGRh8oZil6Pk60XkSOfUNboz97J5Lb3EyYJiqISxyGyP+bMq58/wpOwgKK9\ni7/7JINTn8DHIrYn2RD2CCT08MA8lWcvmjKJPwaOByhMk8I0DgMwKpUSxWKBZrPF/GwDTRfQ2qNG\nYC75nJUNix3n1hpXUhijXhAggCNp4Pkdxg5YHzuHrMjEE/EZz99xOy+9fJHCG4QSxVHEznYT3TTY\n3tkjSRI0WfBsFudr7O618P2A4dDG83xuS1exqcMnkJmWKcew5uNQICWX5mdRdRV7PMGZuNRqB0tb\nrBwIzxeLeczW4/iVdyC9/yco2C/dfGiuKRQ/c//BgD+OCAsrbG7ucrsv5jhvRPb9rRBvKM1JkrQM\nfBL4nR/ga/8s8Hvpz78H/NwP8Ll/SCFO/onr4wchEsIfIEkS1FQa4kC6XKCTBorK6aUqqqIwHo9R\nFJVatSykFBSFvPHD6xx+6kPCtKqcN7nr3FH3v5964Dyf+tA7qRaF7O9j371MpVKiUMhnF6AkSdQb\nBvbYEczy65iz4zgiimIK29+g1eqwvDTPSnUhGwibxsExGQxGbO/soWoquZxJQxY7vDAIUesKXs/H\nqFqEnYh8IYczdqiZFgMn5iP3zHJ2Dmw35EpX5sWdCImYXn9APp8HZIIgIFZj/jLYJrpukYqlmK8H\n60dum4pJxqmSbTVXIhj1ue3CH3Ji42tUhhtYkxbF3jVOXH2Y+s53UIMJchyihw6NnadY/db/hTRq\nZd7lM8/8IZrTO0KwA1DiANPrc+biF1EMoeRr6DqKIh9B19z3wad5/0efo1jIsbQ4h6Hr1Mr6EU2l\n204sAxxpuwBpSyumWMjRbLZwJhPWN3bY2twhjCL2Uqc6VVEoFvM0my06vQFBGGSmUoqiYFnmEZ7S\nsXGTJCAlMPoP32bvC99J3+OQq9e22N7eozFTJ7dUyyR+Xjc0waT3g0BoPzVmWF5dZKZeYXO7SRgK\no6xarZJZ+MZRTKVcAmnCUBllLdVS4UY9tTglOm439zM/9DhO2G2KY2S2HsevHfixm63H2VHOZW2s\n/IPnKX7mftAVMNSDf7pC8aGjXJVpl25lZYFL/oljE8cUtfZWizdaI/1b4J9wIwj+f5Ak6XlJkv69\nJEnHb43EivsXkiQ9LUnSf3fo9rkkSXbTn5scrd5+RENcVJ7jkLNMlpbmhC6RJFHIm7SDiEqKnnI9\nD1c3yHsucuIxY/mcWRQn3+bWDn4Q0u316A4n/LBZpbabcOGVZpYOaiNLAAAgAElEQVRMTq/O82ff\nFuZK9aq4uN57zwm63T6TiWDB6rrgNZDkKKQorcMttqlboXxIAmW6i67PVBkMRywszGYijK7rY5kG\n6xs7wvM87f3n1gzsSw65xYOufW9HvM76nsnJxWJGRLv3ZIF3nTCRiNHUGMuykGWJ8XgsYNOJzOfc\nizjXHU+fmD/ytnCTGOW6dXEKj3UdlxMX/wTD7aPERy9miRsVliRASmJOv/I5dEWhMtlB9YbIN/ku\nJUAPxpx59j8ROYcW/uRoT90PwkyJ1vN9PDc4lrBWLhXp94fM1KusrS5msNuJ46KpKpYuMT9bp1DI\nYxoGy0vzRFHM/LyQ6o/imDiOWF6Yo1jIUSzmmZ+bYaQnByve9xIJSH/yEt6LO6IaTFVrfT9APTeP\n+Qv3kmg3WXY0Bep5YkMhhhRq6zO0bba2mziOEJpUFJkgrWAVZ8Alb439dpfhyKbb8Zn0RCtuNBpT\nKhcJr4PDB6FAV83P1nE9n35vQL5gZS2jWLFQXNFWnbaYrucp5R88T/XXHqT09x/I/lV/7cFjuCri\nWHp+KCr2Y47tW1Xf6pbbXkmSPgXsJ0nytCRJHzn0p/8b+FeIle9fAb8J/MNjnuKDSZJsS5I0C/y5\nJEmvJEnyjcN3SJIkkSTp2DM2TTjTpPPbSZL89q3e8w8rkiRheXEWZFHar68Ll74oCNnabrJSrwrf\njYJAKxWDAFnTGLseiVEmJ/sEgUs+n6dSLmIaOv2Bza3E376X+PC738Fj372cVRagZ793emOqxSKP\nffcyliHzqQ+9k//yjWc5M29lqJJczjwit97cb7O2UhW9dkXBNA1KxTz2d78AgHzpYWgISerDFYqR\nth7mGnX8IMzQK9MFMuxEyOliEjkJvZ0BtdNVXnwhZL6igtvDSlFDg6GNosjMGmepzHVRwhpC8eEZ\nCvkcXxi+RnATLaSIiC9M+tynpjWHJIbWUxFGff8iijs8VtfpZiH8MWLKW9/BHO/fkHSOu78ejLn9\n6ld57czPI8ky+bxodU7HUtMFrN8fYhkGO70x+rw4nwapJIgkC+dKRZHx/QBJFlBmZ+Jg5SyREH3h\nOTHlXIBokY1G42xor6oqzZbgQIT7HWqVMpyegU+dhy+/dHMuw60iSYjaNsGsxCB9rXKphCxJqD9+\nljiJCb7wXCrRIgiOJBB8/AyqlSeMItZWFtncbrI0P0sURyRxQrvTE8NvhNd8t9fntH6NpcX3kiRJ\ntgiPRmOKtYNKeTgYHl38k4RKucx44lAuFWh1eoyGduaB49fugThBcTu4jfdlbo8HLcGYlaXFW3JP\nAFrtLrqmEieJ4HXIEv3eENf3KRUL5HLm397kAXwA+DuSJH0CMIGSJEn/MUmSX5neQZKkfwf8l+Me\nnCTJdvr/viRJXwDuB74B7EmStJAkya4kSQvAsQbKabL4G0sYhyNJEq6u71DI59A0lTiOWViaZ31z\nByIBn6zGEfbEISgUkNPBamTb9PpDBqlnBIiWjmEadK5u/FDe6+72RU4vFNB1wdWYLr456yAhaJrK\n01cmfOVbFynnTS61ZdZ7exlXBABJgAAMw6DbE33xw+x55b5PZ86Dk4mLqsj0bZt+/3Z8H06f9mnM\nnaTT3qDT7aavq9Hca6H3dMbjMbEeM35BXOiNu2s8/2TAe8+W0RSZ5r6fKcqCWFzf/e6EvY5K4Gzw\n2murrK7Cdmufz3MZ/yaLv5uE/M6kwz2lGCM97U1DeLVLEsy2Xrrl4n9cSEC9/RKB/kZ8+MT9NW9E\nfrjFqLiMZRqZwOCU6Z3ECYqiEIUReUtUZN1uHz8ICcMQQ9ez41gsFAjS5GCaBmEQEIQRRVVoYNkj\nm4SEbrefnXue55NEEbKup8AJDVVVsCcT4eL4nmUsWSb60gtZWy1JEIPuVJPr9WLa1ZprzFCvVbh4\nRcjqS7LMN//iTpLkPNJP/Syh44lvKwE0GcUw6e0LsuqffUkiik5w0TSOKAxMu3zn732MnCWOQ7vT\nywbdwA2uf4chuP3+kCiO2dxuZrdZpsFMvZq16zzXI4oTdLVMM01g1/ube66HodwaZj/djB3mllSq\nJaHOMGd+zzDgH4W4ZfJIkuSfAf8MIK08/qckSX5luvCnd/t54ML1j5UkKQ/ISZKM0p8fBP639M9f\nAv4B8Bvp/1/8Pj/LDz+SBFmWM7RGtVJiO4USTrkR9ZkqcSuhUStxqTtk4AWcMGWUQi0T2CvkcwRR\njAE0GjOv84Lfe1TKRUb2GM0LCELBtjV0jYnjomtqSkQLOD0To6gGrzZBSkJMVcIeOziOi2noaHpM\nGKpMJg5LC7PY4wlRFGetlGniAIGf/85Gj0RSmTMgVx3w3OUx95xaYHXtBK82Q4Io4d7VWeSoTHXG\nx7FtSqWDC/+l3WuULZnRcIRlmaiKkg2Xi4U8mqaxty8xN1tkZBeprVymXC7xqN7G23v9nbKbxDzi\nbfLT5gkkJHZSNnQunyMafe9APzn0CfK5I97erxdKHFDvvMyksorr+Vm10er0hDKyqhBFEY7j0B0r\nrMYxSkEnagtBv0ajln0HQdov7/UHlIoHzGlnf4/+eIAkSWiqhizLVColRqMxhqHjpDa7AIqmoWka\n3d4AVVFQr3aJZOD9J2ASYtaLjHIS6oUm0mvX416OiXSB7/YHwmXPEtWvm24CkiQhMRQSRfBjZFnG\n9bxMxh5A0zW0RMXzfSw1JFFyeL6PIitEcXSASIs4kjiyONQe6veHdDr9THjzcHTaPXRDJ45iZEVm\na2sXRVEyhNby0jz9/pCK/v0p4l4vrjjVuZsKS5ZLRfqD4ff1Gn/d8f3US/+HJEkvSJL0PPBR4B8D\nSJK0KEnSFLI7BzwqSdJzwJPAl5Mk+Wr6t98AflKSpIvAT6S//0jHtLzMWaI1MB4L74uVZTGMtu1x\nhu8HmDc08qrC2I0Jg4ByqYAiywRhRKvV4eq1LXzfv+nrfT/huB7lUpFKuUCxkOcvk30as2Lm4gdC\nOkL8LYehScxXVBJJpbN5Dt2cYXl5lUcfm+f55xexTEMQAqMI3w+4OrCRJZnBsIjtR/hRnkeeafLk\nRdHL/9i985TLr1HQPO49NcPGxiWCwOfMnMwD5yo8/3QZKx/Ta+s8eqHDenPAaByzvw+TgU4jH+J6\nPo7j4gcBliHgwpOJQy5nMhq+xpXLl9ndeY2RG5MvnCaU4JRZ56w1wwp55uMiK0qZE1qF280aK+Rp\nqCZOqgycJIlgZ6eD1UC/cbD6RiNWNCaL9xzrk3Gz0ENHyPO7XrawFPI5ioUClmngeQGKqgKiLZVM\nwlQeJ4c9dhikC02708UwdMIwYji0MzFCIGVZi/c0hQPrhkG5XKJULFAo5IkTwRUajmzWlhfQntxE\n+d2nkL54Ab61TvLsNs4jr1ArFCm+++QbaupJElC5MZX6fsBP/Z3LnL/3Mc7f+xgXLv8jPv7zW3zy\n07vMrX2JYfBvKNc6WPldPvkLO5Tn/4i/+0sd1Oof8clP7/LCxf+Rcfxv+ckP/hlwo17akZAF6bXf\nH7K0ICrp5FBLc3tnjyROqM9UURTloLKIkxugvYelTH5Qcfg1lpfmKRbzrCwv/MBf54cZbwrqkyTJ\n14Gvpz//6k3uswN8Iv35CnDPTe7XAT72Zl7/RyF0TejlTE2WQDiH5fM5JEkmSWLGYwd77DIajiiW\nBKeikwQYkwBJ1/nZb96PE/3w+Znj8YRhiv56PxVILGDA8nKZra0OhZxFfaZKFMU8v7nPiZrKVqo9\n9/DDUK+D48DXn7u+oxjgDCXuO5cHxAX8kXiPwck1rEi0COI4od8fUMhbwkOh06JaKdHq9Dh3dky/\nA7OzdT527zwXXiyy9m549hk4f14lDAr0+sN012qhqIro7wdhKrOREMaCnX3fkmh9/MOl9/KrC/fS\n7bk8/aqoBteWRLI8XSvRanW5qqxT2CvgOG4mv7K/3yaKY6KZOyiMdm5ASt0qEqA3fzdOdY1AL6I7\n3Tc0wUrMIlEYksvnyJeLMDpY4KN01+wHIX6o0uqMWV2qMZ6IilCIKopXmZ0Vlevy0jyTicNgOMJx\nXJYtiXq+ShILQpyRWh+L4bAYkHuuJ+YQaYIZfPUC8ZcuZB7jhz/H6LNPUvzM/SR3zyO90ORmkUgQ\nf/IOBrMGVhyztHTQAn3p5YssLYkBfRCIygqER/i9976LD37wg/zp5y0s0wJGnDixxiuvvMKDDz4I\nwAMPPMBP/PhHuXrlKmetDVwW2UsWKR/3RtJwHBd36g9zqP05N1vPjuHh2d7yD6iF1NxrH5E1+dsY\nbzPM32RMdZz6/SEzMzW63T66YZIEHv3BEFVR+MUnf4zJG5RZ/2FFkMIcS8UCfhAKVdi0Igp98bVX\nanU83+PRCx0+8s5Fdnd3OH36EvvNhA9/6ADa22kb+EHA7FwezxVeFIW8xWQ8YH+/Tb0jTH78ICR0\nQkIzYXlpPpMKB7F781yP5aV57LFDIW+xt9dBVmTuuhM8F+6606XbG2DoumizlIvCy73VySCqo9E4\n45ns7O4xsSxOzCYkcYgma7xwWcyQPnbvPJe6Ynd+qTtkpZiHQ4Tu9qDPb9sv8Mv6GeaqVQoz5/C3\nHsfwBjdFTF0fU5nzvZl3kJckrpz+JKde+QJaYL9uAokVndHC3SwsztNqdfA8n7KSwM6r6N1XKCce\nNaPIdv42SNa40g5Z3X+B+eueJ7pyFH6cS/+BYJhbvJbdDoKlO3PoZxWY7n/9WzHL/YjR7z9B9WdP\nM3FcgkvHKCNIUPjwCrmTOdgWHe3DDPGzQPTUc9li/y8/9TPEFy8RDIfIYcgknyMaFJE0DfvxJ6iF\nITVg8t3vEsYJH37XO2k2mzT6A8bjOqw/R+2uZZJgQuDF2JMu1eoM/sShOfKZL+rkZmeYuEJ1eXf3\nYBOkqmrWqjoch+1ngyg61np2+jctrfDiJIaYI3ORKIoYjcYZD0dRjjoPguhkvFWH5fB28nhTEceJ\nYCWnu4qr17ZQVQXdMNE1lcWFWYaD0d944sipESvLC2zt7lGql8hpZrZgr60u0mn3qFXLPPponrCw\nw51LKopiZ+2Oqff5dJGuz1RZ39hiayvMdrjTQd9sukjwrrspuB777TazJ2awxw6zs3U816Pd6aeq\nvAr9gU0uZ9JqdUmSmFKhwNZ2k1q1wmAwJGeZjOwJcRzjuj6Vss5tJ5YzApgky2xs7iDLMnpFRXJk\nXntNLJJ7hT3e78t8XZ4jimJuKxe4OhClVDe9YGu1Kp7n81fyHl93dliS8zzYVxgMZZRTn+D0lT9F\n90dHhufTVHKcP8bFs3+X+YU5RiMbq1Kn+2P/PY1v/Ttkd3ATQyaJ2CrjVNaY4uAkf4Jx6duc8LyD\n1x3tcVvnKguSxVCrYMkOgZqnUz/LqLhyhFBoGgZBGIiE3e5RqZbRnS3WB4IjEgQhuq4xssfkLBM/\nCLPzt5AXswRjL4FbsL8TScLJVdD+8TvRv3kF5/lt4omLqmsolTzR/ct0FwsMFQU/CDAN/Uh7xh5P\nsFOxyMO7cg0B/faDgMAwSEjYqpSZqYvKyfMDWu0ODVf4pzQrZRYqEZ60CBcuodx3D61uG9Oo0B75\ngDAw67keDUWm0+nT6fQpFnJHiIS93oByqXhk0T8snf5643BNUbKFXz6m+z9VzD0urh++v1Xjb8en\n+GuMKIoy6OPayiLtTo9Bf8DS0hzrGztvWujwe4mHP/ItJhMnnUPEbG03kWWJfM4SF8ZowvpGn+p8\nFSmESBpTyOczvsRMrcIk0lhZAUkKcZyQ9XUfXVMzdI3nH23fWKZFkghDrG5vINwEn3qOcb3GJGdR\n8nwhvmdZRxIPCLRLGEZCiFFVj1QkvcEIVVXZ22+jpQq9cECG81wvk+QA8D3vyN9aox626VCRDtBO\nH4n36D/fpRIFHJiJwuZJaGxu4xHzefMiSPB5/wo/rq+gA/Julyvm/RTUNlV3EzVxCSWTnr6MGQ2o\n+ZvISUgsqXTn38F29U5kNZ1bpH4doyShe/pnuO3Sl9F9+0gbLJI1AqPIxulPMhmNGYzGkCSce+1P\nkLzJDRWPkkTkEpu8N/Wx6FAc7+BrBV54xwfQvXnhkjdXz3bVkiwk9xu62F0PhjamYdAfHHBLwjBk\nfWOHmXo1O5+tnIF9i4JLkkQbaKGQJ/74nfDh0wyGIzTDwIsikjimbJkUcjlUXaXz7c/SuQb1Bz6T\nfnc+YRhSyItFfGRPsEwDSZIwTYMojoXbYtq2mxJTwzAkn88TxwlB6oci5xbYvHiVM8tLRE89R7gw\nR7khhuFTxz4vnSdO0UxTmPL0fLqZrcBfd0wroDiKb2lp8KMUbyePNxGyJFEsSehalf39DrouII66\nrtFp915fCfQHGI2ZKoOBmnl3TC8Oz/UYtXrkTJO1aoWu7bFl9zANA9cTxLu11UW+9vQWiaRysiYW\nENseUywVGQ1HNBp1dpv7RyC9MDUaymdaSoZpCIG92RnC/iDrG1uOQ5D2kneHY6w4onHoIh30h9Sq\nZSYTl4QkY6FPFWArlRKddi8z0VE1jdWVgz70YGhnHupT3a21yiL1eoP8/mkeTVtTH/0ofOUrYFmw\ndNc2AGe6V9ldmOMr7jUCVyxQSRLzjeElfrV4O20AScLWGtha48jnt5mlnbs9+3126STG5SuYd9xO\nGATC+dASFSiWyeY7HqI03sbc/C56OCHSCzgr70JbvRO504eJsEfN9dbTNtfNyYWHQ4lDTK/PnS9+\nk4unPp3dHicJrVZX+GyEEU44QVGK5CwTK2dhGBqSJKGoKvlCgWZznySOqeVVNidCcueNxnBkE4QR\nlmVklSIIxKGu60RxhHrM0jJxXBr1Kq39DoVSgcZMDdcV8igAdhynLpESOctKK5VxJgYZRiFyLI7I\nZOxw/g7xfURb28z7Pu1OL0MTCvVi4eHR6vQoFfKCD1MuCUkh10PTNGRFzhR4bxavB6cN/fD7riSG\nQ1u0hWfrf2u1rf6rjziO2dzogyR2+eVSkbHjMRmPKRTytLv9DN3yw4qcEmWeHFPTpziOKRULbHrr\nnDaX2RoOWF6ax5zIjOwJmqYQhILk1GoLKO1iJaBaEd3ncrmE67rMzs4wGAxZmJ8lDAL6/SG5rR0U\n1yOH6JMvA+2VZaKnnqO7toLXH9CoV9nd3cdNL3JNU7nU6jFbNnF6LlEUs9vcZ2F+ljiOBAzYFPwT\nzwsoFvPomspeq0P0sgDqNe75OVRNo93uEccRCwuzwpdEloUCaTRhc2+UQp8t9of75HKz1OticXn8\ncbjnHnjuOWgUVFp2yHapgBp4fMG7gpeKJbhSwn9OtvjYdg4dmcUPvIedx76Dkcszf9+7WP/GowAs\nfuA9dJ9/mdLsLFIhz95zLzCztMBElvE8UV0kh3SmIjnBrd1GU5lBUWR0TcNxPdYkKYM3K7LMTPfV\nN80vkQBrMqJobzMqipbeUSMpGcvMoReqtFpdCnmLfj+gUMgTjruUJ5coWxBRJVDOsFbqEOR2mdxq\n1pMAtZyoPhZm6ffFjG/qLgiCFAdikzKtOEBsbFRVpbkv3P0qlZIQDUwTx1SuXlFkgjDEMDQ6nT6K\nLDGrD0CDfMo5ciUFJeijDRQSJQf3voPomedprK0QJwkT12VoTzCMgxZdrz8SgILBkP+fvTeLkSTP\n7/s+cWdERt5HZV3dXbM93TOzM9wd7sG9l8tDFGmaJsG1TBuiYBuwTD9IfrBhQAYMGaAfbdhvJmQ/\n2BBt04BpQSJp2UuLpEiRXM4es/dMz3R3dXXXkfcZGffhh39kVFUfM90rEtpZzw8YTFdWRWZGZMb/\n9//9ft+jWrGL9tTJ6YB2+zJ8d7Mp28TuTvfS4xs3R7jcgnr4uKeJs7Mhtl2mm9vVpk8guf4gxvvJ\n4xlCTjN2BkKFNdvfIQxDHMchjmPCMKTbab2rT8yzxh//zFcvkZ4m4xknZ2tKRn7TeT6qpqFqKnvp\nNsiC0NcfjAuJ5405DgC9lJfi5/H9N1A1jdl0xnavSxjKuK7HynFxPZ/tXpfKd94kaTVRXn6h2H0l\nSUrjjbc43eqQ5iJ6nh8U7SYQEFElDLGkClazRhCEQnF3OEGSZbrdFtPpXLSxFJkHD05JM4EYOo4/\nh6ooKGHIaDxFliX297YJwoiDa3sc3jsGZJa+OLednSqH94554YUXAPjIRzLeuDfkIx8RN7zddLCU\nEiMc9LjCP06+QfzQDRpLGf+vPuPnwhZGSbS/JEVCvrAROP3Tr9B96QXK29sEvmgjySUTxoe0fING\nnKCaIdnJ5Z3jw9TBZDjCvvC45T6bqvImZDI6s1sojQYdRsiql79A/gceaN4pPXSC/gNadgOSEE8p\ns6p9VJwjoMoSa7XL8vky8i/Uyf7xt8iixyQRXSH6mRvoN3ukOdzZLBmXFsvlYsXVKzukScpkPGPp\nrNnpdTBKBsvVGiudcs0UyYXRPS7WtjWACNTkCqoEveh7dEydQ/0Gem2b45M+ltnDzb9zmqSRRgmd\nThN78hf4H/0EyVe/ifTqK9hli7UjlIJXq3U+T4lzpGR4iXOxu7NVvF8jJ2RmaUaSZih5Ba3ICnEc\no2kapMKXvpRvlDYDduPCtXiWJNJpNYsEJKq/950EfzhDU8VwbjRFdxzkkz6dh3uUzTrwyl/aS1Yq\n5YJdXNcNls6ag2t7vH37HmEU0u3qGLqQDQmTmHkY0NtqF5IKjXqVrJzQqDUwDAkS+INvwCc/USVL\nU7Z7XU7yfvnGirZWLsHr38a9eb3oO1/N5b9VVaF9/YBtU8N3BNQzzTJarQaj+ZJ6w6S50+Dw/mnx\nvBsilKoomLlpUbNZ5+R0QBwneVstII4idE2l220zHs8wdA1FURgOJ3RzzbDNvANgPl8QxwayLIbm\nA3vArrfD4SBD8adcvbbHwFlyvVlly67yIEv40nxQVB2bCKSM/7M84afCBut7R0X14SznyFWbdOlw\n8JNfKGQ9tJxZPLxzF+3zz6HGLY7un5KmKS82j7nlXUFVFbIse6LNsG0JYy4z/A7aM3q6bKKU+mj1\nfda53epGskRRFJrZKVO2UYe3qQ6+iUmIh07cehHzxo+CJJElKeSy+52SwdmPxUhJKqRJACm/Thky\n2i99CPsnbuK5Pn4Qc3Y2vGRdDKJ1dnY2pNlqCqTSdRPfTVGkjB3u4UsKt8NrGLqOoWvESYLr+ez0\nujjOmslswcGrXyMp23xHeQmSlH2zxO3pEi1JC2/0smWiyAon/SF+EGJUnkeOXLj5PMnr34aPfgg/\nCJjncG9VFaTYeq3Kg5M+69yEbbPAL1fOO84/Al9YMm9i4/UO5wP2LM0K6O8Gah3HMUmcvGMicdYu\ndb3KfLak3qj+pW8+/yrj/eTxfUblyh7ywZXi500PdT18CgbuM8ZFMtSOqXN0/5Tnr18jSVJuvXWH\nG9dreXUicTSbc3I6IE1TVFURA/wEXMUldTQSFH7yp1PcC9p89VqFsmUiffO7AtY5pEgcR/dPsSyT\n+QWP9rPFkG2jwny+IElSZAliWWGrUcMZOqxWaxLb5qApZBhWqzWqqlK2THRDFwZKvk8cJ5glo6hE\nwihme7vLarUWhC5JIknTwn/64ZuwXq+xdhwMQ6dkHjC4dZOZBR+5DpaVISsSNzoGaRJQ0eGP1odP\n1PyL0oQ/boT8O0Dcn9D9wHMwXdDudKHTZX1PwGIvUjrTa/vEDxJO0gG1qo2zdjlKn+c584hpVMFT\nGyTJ40mgfhiiJAmjzg1K8/vflzQKZhmrnOKuc+fBNKNeszk+7dOyfHa/+5so/go5fw8aYDunpIOv\n4nzqb7GKJWzdwnV9zHxgnXxsD6lpoix8kiRBkiQaBz3ae2ekwds4RpM0tXA9r3AzlGUZ07IKh8Pp\nZEqSpihohJZL03EZZ21WiY5pGHi+TxCGJEmKqigMhmNUVSUp20hRSEPK8Nw1SZpxunZodtqUa1t4\nqzWeF4hKOk1RZInJZI59ZYek/03Kisdxy6SSBMVmp9NuYlklAj8gyom6IBb9zaD63UiAT1NF3D8+\nw8pbWUkcs167JGlKEFwe2m9iPlsWLarRaIppmYxG00Lt+b0Q7yeP7zMexmdHSUZ/2EdV/2phuhu8\neH8wplGr0Go2UTWV773xdiG4mCQJu5UKcUlH1VQm4xlRkhBJKRPH5XS+4KMfKGMNTmDuYQNJyUDP\nqyqAqiYG8q3eFrZ+fk6bucOxsxBifLmMyXS2YL12MUtisB6tfQI/oNdtCdkLVb2kyluvCaBqrWoT\n+IEYplom0+kcTRO7Ul3TRGIwKvQv+EtvQlNkJvmw9urVjGZD4g//EG7czPjG6xKWBa2WzlofEWYJ\n/8R584kug4GU8b9kR/xi9UdJHxIELDy/gxBJloiihPLLL7BcOUW7buWskSQJVZGZqNdJlZRryZvc\n4tw/5OJwWdd1NFVB23mZ8N6XKQWLZxJlTGSV0/oNYjnAyEQDSJYlxpMpB1d3Kf3Bb6P6DtJDLTo5\niZDcKdaf/s8sflTI061WaxaLJVEUCz/7n768WHrAwnmV6WzBdrPLXnYLRZ6xXk9Qeh8iTVJc30dV\nFHrdVjHXePv4K3yitI2SQq37IWrkPht726RJytr1cJw1YRRjtSoopxP2d3qMpzO2tzscnwyLttfJ\naErNEtItF4fbR/dPcV2fRbZNEqbsHfR4bfY6L6o3aNQqxd8JWZtxYeJ1eO+YrW67AHpc9Dh5mvAe\n2sxsvNEtq3TJr/xxlrkg9K02MRhMWCyWlPS/fG+fv8p4P3l8H5GkKfP5ksXSKRAmWZoIh7m/RKiu\nJUUFHLZ6sA+A5IvWSaNRQ5EkDEMT0tNVgayp5TfM4b1jalWbyXDM8y9cFzcHEt8+jpCyGPvtu+J5\nP3pDaPfUq0WrS0SZ0/6ocK1zHCFcaGx4HcCSBwBEiF1tlP+3upP//sZ1Sqlw7BuNp+zt9hiPZ7Q7\nJaa6j+6qjKdzdne2cq0mhZXj0uu2ioXW84W968MtEjjfEXBVWV8AACAASURBVNZrFaJIQtMyPvkp\nqNjw2c9mfPf0lN3OLm+NRNURZu+sfRWS8rvL2/xc6Rzgm6YpSTch62eYlonv+0IrLJLRNZ04EbLj\niiJELz3PJw1DsixjVH2Fm3ybt4Orl3w7gHP1QEni7YOf5eWjfwJhiJScQ3s3TogPR4pEZFTJ2s+j\nTCTi3D43yzKSNEUd3UEN3UcSxyakLEX1l5RmR4zaO8i7IKNgY5Lw6DXKvIxZuCKMYvqDMVnaYHv7\nJoHrMz0+47pxhAUMsh0WQRnLLOF6Pj+h1xl6JvL2jUvPt1yssMomZctksVhSaTUZOSHtehVVVwvZ\n+Kt728V8YrfTZDKeYe0YeJmYe8SLhFrVZjAco+sanVaDw3vHfPzKh3lt8Q22Vlu0WnWOT/qFv0e9\nXmU+X3Jwba+A3INoD6eJEExUFBlN1R7RwboYtv0oedCySqJVlTybGrEsS4RehPoY46of5Hhvvdsf\nkIjjGL1ik6ZiwdN1ldnMFZ4JqY+pxE8lP2IpCX/xmd8i7vwogR+wXK0Jo4gwjGi3GkxnC9zGdZJ7\nD0i++s3iuD0gWS6R2h2auzuQRiyWq2LYDbDT69AfTvjet36cw29mfOHml0jiGOQtMklluLNd+Cmv\nXY9KxS4sTI/un+baWKIq0DWVJE3phhHP0pTbT1IGdw7h469imiWOT/oCypqZBEcrJEkqyFR7uz3m\nswWt3DM9jFZFXzxJEsIgJLFMXNcrdoibIf5r09fZn3n405C7U5UfTwe4N68DkCaiPxdmCTvq+U40\nRvSs9UwXct6yTBzHjFdL9KouwBC5AObqrkutajObL9A1rZhjqIpMFD/kHRKdO0xGUURfe4nn+R4L\n4zpeel6tBmEIkkSa+iyrEsErn+R0pLC9uo3kLokNHd2ZI8chWnaRK6ISaja3D/46US7RLmx2csKa\nLJHd+jOk5J3bYHIaUTp+ncXz7y7HIZkSeqBTbphkaUo136AosoRtl/HrwuAomc65krwpDjLBb/0Y\n1Yd23XbZwvUDJrMFZrOEb5jslUsEyyX1hzSlkCXkC+mz1W5w8mAg/ErMEmvXI0kSdF2jpOuEUUyn\n0+To+IzdZgelruOs1tSqFUaTmfjc0ox6vcpysUKSZRxnyvZ2t4DcPiye+KSKRJEf32EQ91TA2dlQ\nECTfzVgLaLcaRTX1Ps/j/wdRMnT0fKCr5gPLzQD4dz//FUqlEqPxFEPXkCRB5Dq6f4plit1JmmaU\nyyZEAp20acsc3T+9BPddux69V14gSdecni7Z2amiyGUW0znqYkVH0/n7f/+/4urVq/y7v/qr/E//\n8B/y6quvckXRqFVt0jRhFkb8/tkpVrnMnVv/lF/7tV/jN37jN/jlXxLmjeXcYGcjxdBpN5nNF2x1\nWgxGE2RJQr734FLiuPq5z3D0x/+CnU9/jKQ/YXDnLtWDq5iywnI0IpJlBnfu0t7pcW/l0kSowNq5\ns1uv22Y8nRdQ4w13I0lSptM5jVqFfn9EpWoXHiBplhGEIdPZgqtXdujlQ/T24nNcezHjjYnElgG/\nf/w816OT4r02DZ2f5yY/X7lJS5do2BVuT5dMuUNbaaEsVOq1CienfTRJYzqbY+WKvs7aRZalQk04\ny/3Ak3ymlCRpQUZLkpRa1aZsWSyXqwK2ezu8Rk1T6EXfY8Eem/VBBiq2TTiLQR6xquyxquyhayq3\n/Rl7WKzP+nw4u4Uaron1MoutlxlrHUqlEkkgEuDe7k4hyCmQbpcdH58UZZ5exyuph9SDBuvcLGwT\nURRf8m/ZOOXFYcyD4zOS3Nvmem7xWq8LtWk0nTiTuVYr0R+MC+jr5M9/q4D4Pm7OtUFHCen6lDhO\nUFXl0sA7jmIWU4eTygO2wi2CcEGtauMHIdP5gmazTpwkkCSEkZin9YeTx573dLZ4bPJ4J7fFSqVM\npVJ+ag6IJEvEcYyqqu/zPH7Ywy5byIpMlmX4vs9y5SBJEmmSUK9VitYRCKa2Yegc3jtG01SqlTJG\nyeDB8RmLpYOtK5zk3gJBvtvfDPCWS6cg0Tmr9FLro6qsse0TMl7CcRxeffVV7h8/4Itf/CUMLeYP\n/uR13rp1i63af8HamfFv/3s/z2uvvcZP/+t/gyiK+A9/5meQ4pToq9+kgkB4bv5vgNBROu3TQ8xD\nLiaOg5/8CQ7/2R9w8JM/QRqFaLs7cOcuy8MjSh98kd7HPgbA4T/7AxTT4uDuISDgmMvpnPvNBpKu\nI8UhjVpFaG9t67lOmNDRGo4m9HodwihmPl8WiK1Oq1EsKBf7zlEkMc7f5N4el2J6wQ+iYYvPpqwq\nbEk3eCN6C2yo52IhURRhWSZxnNCoVwtcv3vB21tVhfzGxc9DkiR0TfhhR3FCEATYqlUIGS7dkMR6\nid3kEFvxuOVdwXG9nH0fg34ujBhGMUaagSIxKO0zu3GdJFYIgoiybcFkRhRHhSzJhlthXNUIjiJi\nzRKDineJtPR4DxL5T35f/P6zP108VpqVkCsyy6WDbpV4sFijJgkxMotcSJEEprmemOT7qICdV0C3\np0sUX7ypUia0z45P+iSGRhCESEhU887k5M9/C+XFn2OxdEjTtEDYbSrN8WRGFAuVYUWROQlO2ZK6\nvHV2+/wkdLADm7UuEtvazxNcCFWpxu3FIR8/eJV6rcp4MqNiWwRBiKIoxGFMksORO+0mJycDqlWb\nJEmKjY4C1Bq1d5yTqLr61H4dmy7Aeynee+/4X3EEcYKzdlE1nVpVLDiapgkEURAUgmibL9XVq3WO\njuY5q9pjmN/o+3vbTKdz0lgkB0WRWa7WRdl6fNInSVJ8P0Cdv8lWNGdLh3RuElf2kOxtFlGbKvDr\nv/7rWFYZd73AKte4d3iHn/jCF/joR17ltX9uUy6XWS+/xqc//RkAXHfN0DLZ6rRQtiz6AwfyxS8I\nQrpdQWzbGEEpmcVWksJoxuDOXdx799j59Mc4+fMv0371gwV0deuVD1JqNAj8cyjX4M5d1OefwzRL\n4lz6Q66cXVBlPRsx2t7CbJRgJZAqqqIKjoUso2sqc9dnPhfkxeFwjCTL9LbapGmKUbIxTfCDjM9+\nFgZDiWYj5C1Bx2ERXlBDvBDrOMEg5SO1D/Hm5JBb3MbO2Rdly7wE5YzjBEPXCcKwuMklJMLo3CJW\nkYXx13yxKuZDs/m5P4NlmkRRzAO/hSzDc2YfjZA7q4NLcN6NT8XBcx2c25czwLq0xoi04jXTNEGR\nZYIgpNdtYcQG7IKsfZrsa2eX5icPRyKrTNsv0olbjNTH77ovht/w8fGp2BYPFms0x3kUQTRfoigK\ni+WqSA6dTpPRaMq+ZaDYFo7rFqTKTTtpt9dllnuy+1e+QLlsEgTRJROmTctzPl8WsO2NDE5P2uLr\nd7/xruewia/f/QY/+tyHIRPAl263lXcNIohkVF29xJC/qLoLFJXw5h7fzAQflnKHHGX1hKH5ez3e\nTx7PGIaqUKtWWLguma7jhxEqGVkcs9NtMXNcFrMFAz+knDO4N7IlWZZRscsslo6A9uoZliyBDxV5\nxRYTYlknczws3aDZ6XF2NmTMDpXmDTw/yNnCS4JgRr1m89Zbt+h1W9w5E7IhtapHkqYcHh4CKVEc\nCf/xxZowPuWrd9a89AEZUy0xnQl+QZyrh25sXo9P+jR6DVajFbqho6mxWEx7Lbhzl8Gdu3DnLiDI\nc5sYfPu7l65V6yM/wnA8JfKDcznsms08tTm4tkeSpAyHY7ZPzuAMzra3BDPeOK8ojk/6RFGMH3jU\n61XSLEPJstywKuDo6B7dTpOvvXHKjb0qi6VD5a0RtDtQtRk58SWBxIvRH4yo1arUApOr5R2+t/Um\n9sA+rwDmD/i/s5Bf2Nrm6GhOr9tiPJkTJ4loPwaJ0AOTZZRdidWRMFqqVmzWa5cgDImiGE1TiZOY\nLM7QNJUoiulzDU1T6dYsKouvApyz05OU+MGFoWumAwnKQsXT/KI95uXVkK6prF0PVdMYjSbEcZmb\nWhkteTyCK5NkQq2Cce3xfKSLFcfFcE8TMkulp2bMvUfbK/V6FdKM6WwmKm1ZfJdMw6C/XKDGGVmW\nUbWFHHwYhFhmiaXjFBI2u7tbnJwMLkm5g5iJnZ0NWSydojLf6KeNF5eT32df/CxRFBGmfpFUOlaH\nF64KIumfvPEnvHV2m57eKWDwjXqNNBNAmMFgQr1mvyNEd/+CdtumTXUxRqMpuq6JLoQscXY2pFKt\nXPqb7KH5hiTLhfHZeyHeTx7PGHEcU6mU8f2AVo64GI4meFFEfzjB0DVMQ6dRsVD1mNuTGMVboes6\nhiRRV1RWEownc6pVGzkNuGne5zB+jnXzA8Wusmmft7zEYF5mMV8yny9QZOFtYZRaQuLcEUPBKCfZ\nKfLGb1mMG1VNcCxOTvt0mz1wPTz8wv40ioQia5qmrNeu0EdyAtI0Ef3lMGSxdNjb7bHzqZcpjb/J\nLe8KvW4Lzw8Yp1DyXHrdNoQZalljOp3zhX/68pOBA189/6epxPxvH/nn7J0NSM4G4kv50Q+B5KKq\najHE38yMgNwrRCS8z/3OC7jxB+HNC89/79GXtNSEP/3FtwTpzHG4/uLzDAYTkgziKOKG/AHe2rqD\n61Wo2DZao8UvxjALoN6rgxJj25aoLvJrt7FIPUiaHCUBEgnLlSN8vHNim6ZqpGlCkmVEubRMbMRo\nqcradVkpL7CTvMlN8z5OYubVyflA9iLEeVOZqppGsnYxDUMMkk8HxLHYoOztbdM3fpatb/0/aOEK\n+UIFkioaqVVn8vIvk+awYZ5SHzBSS+yWNDwvuCR86bo+o/GUK3vb3D8+K2Y6Sg60cFyPqLICv1LM\nqUaTGb2tNpPJAtfziOOkqCgeThxpkiJLYjg/nS04Pj5j7wnGSZ+4/gmGyxHdagcNMTu0TZsP7HyA\n5XqBqYt7dre5R00/N6zaVBee67+jztXF2LS3LiaZzaD84nM4a8GJscvv7jX5Ps/jhzTSNOWsP6Jk\nGLiej7JY4np+sUhEpklNUwpW6fHJjINel5UsZEQUQ8ezMq5aCfr0PuuoRaI3Ce19jOm80H9y9DXL\nI4f9vW1mUVzAf03TKHZKxyd9RqMprudjGDoSEnESU6tVi5tMVRXiOAEJgiDi5ZdfRtN0vvQluHED\nnr8uWgVnZ8OCv7Hx4dg4zgmLTBu7bGEuvo0T60zVF2g2hFaTqmko82WxmExdnybC1vRpDa+8REVV\nFPo7PbIso6PGkKPLOq++guv6NBs1shrE44jqaR8pr2QsVcWNn45b48YKg8EENI3BYFC0XVRVwfcD\nsiwDQ5APNV3l5GTC7m6FWnEaEkZdYb4AUSRs2kcph4eiHakYeuFFHuXACE1TKJXEztT3/YLr8XC8\nsd5DlmV2rSVV6Zhb8l7x/A+HoWns7faKYXUcC16MlO/2nzPXrD7/a6jD2xj3v44WucSaxXL7FfzG\nNSo5WS5NUnz8R57/4ejELTLdy0X8hNTHZtG0rBJX97Y5yQU1gzAUXueShKoo1OtVNKVFfzUhSTPh\nnpllTKcLoliYem0ShziXuGgPbiTUnbXLdLag1brsHui6PrgZhmJwrXfAzBPV9HAp+pY3d0W1sXnc\n90Js0y4Sx3y+xPN8trptRmMxS3ra2LS3CmTVE8IumwLp+EMW7yePZwg571tqmkrLarJaLou5x3S2\nEMS6ICTLUk5OB5ew5RtY73SypiGd4Hd/hOV0TRuf1WqNpmmoUVy0jNJUqKR22k0Wi2WhZrtBJamq\niuv5pGlKp93E0ddInnUOh0WU4rIiF7LbmibmK/v78OABVCrC4yPNMi6CPDYwXdf1MHSNSsXGmH6D\n71Vb9OIu7nyBLcusVg7lskVimhzeP0UGdvObaLl6tE30TqGqKhkZQRAylXXk/T3CMGDn9W/jP3dV\nIGS+9SaSH5Dt7UGnwenZALtrwO13f/5NvPaVr/DFL36R/+PP/gyjZOMHp7SadV7/vd/iejrgE70y\ncfY66sufo93Y4+RkQRyLQamuaRfaCvkFSy/PK4IgpN8fXaIiLpYOi6W4HhuSmuTJpJr4q02C38w7\nzvwqsh5w0zzmDle4CMXdhOt51PTzNsjVKzuXZm3y6B6n/SE728+T7dzER7TDVosluqIwny8JQ6Hk\n2onPF25P9nHky2gt3bUIlARDh5otFu/De8eULbNY9OM0YXdnq+AK7e1tc3T/lJJh4Lk+WckgqqyI\n1AbrmVeg7jw/wLYu78iTOCmSx2az5Hlis6ApCkbJIA5j+qMxtWoFRVH40JWXLj1HHMYkwEKas576\nyIGMgqiGXtp+ntF4JtSplw5myRCCoYhqcTCYiHtdklBkqWgnypKElLs4WqXzOcgmcUy/T5mZ92q8\nnzyeKaRCHtpZrTAMvUBgpGmKt1xRMgwa9SqO4zIcT6nXqkRRRLNZpzT6MsvwKqPaK1Qyi0bDQpq/\niePlg9lEkJ4WQwEV9YOALEd3bHgQcSISkyxJGLrGd776Ke58R7y7JFd1jaKo4C7MxuLm+9Zrn+A7\nX5PJ0owgFrvZ2VlXDFzDq7z80T8FKNpmRsnIcfMt4iiinAtzTCYzItvGT4GyTQBojoOqKIRJwuFo\nRcdSyJ5RpEdVZOJ8cBwnCTvdNvcfnDK9doXm3SOSu0dIP/IBFEO8v7NTAe/0/WfzgP9rf+2n+NKX\nvsQXv/hFvvSlL/G9r/8F/9H1mJ8tR2gksF4AC9Kv/TaWWWPx3M+iGGXiOBbwThAJQ5axchn5IAjF\n+UcRuqah5R4Vrucj5wuNmS+Qg+EYWRYJPcpbFFEYQImiPQlwEnZQJKEr1Yhn9Goey6zOLOtQKolN\ngOv6hEEIlTKDQ6EjZiRTJp7BgQr1WpU4ilByQMMGymuXTY4fzKgYMYoPXujirz1aqsMia7OQqlxr\nVjkajMlKJfYtmRCo6WZR7cqyTBhFxdB6s9hvFAUAYf3qBWx1WsiKjD1uMZfHKGhFMtU1tdiAbSJ5\nSEMmTdJ8JiI2Y9PpnKptY+Vcj8fZvTquqO669Tbfy96mqlSK6vgiAkqRpUtVz2AweUdy4MX39HA0\nm3Xms+Vj/vqHM95PHs8QWX5zO2uXil0mDCNcz7/kfeHJEnHOmlbmSyqVMorzAGl0F7/zCeo5MkNR\nFCGDnrhsb4vSej5f4vsBkiTRbFooaonAE8np9LSPrhuEUYhdVskyLU8UMZIkkaQJEhIJQo8ozTIu\nzt5kWSIKI5AkTENjudRJVPBjMAxlsx4S5OJ60+mcUumc2Ldp3URbESwTrrfPz3mhVFguV9hmiWyd\n4EnRpR3500QYRYXUhyzLzGcLYQ4Vhkyv7hNGEaYTM7k/p9WsI8uK2DXult7lmS/HaDLj85/7FO56\nyWc+9WP89fDrGL5biAAW1ysJydYTrr39u7xx/RcLORpFkc852NnlRU6WZZCg1Wrgup5YZCUZRVUI\nw5CyZRXPYZaMc85EnmhlWS5w/kmSEuVzK8fc4o11jIzMdt2lGr6dX7MKzWwFI7i6Qd1GUM0/q7p/\nC5Iy3jLDy1t71VymPckglGxuD31sy6azvU+EgFPXANV5wAe1E5ZxHb30AgZCvrxsmViUCMPokdlE\nHMZ4fsBWt13AqsuWiet5LJ01qqKQziR6O228HHWVpskjXIiHGdrzxfKSvluzWScOxexoI0GyUXwo\nWpGaipbzdBzD4aXG84X8+UZKpGToj8xO0jTh8N4xZskomO7PEvVGldVqzXrtYlfOodBBEF7iwwA4\nzrqowBRFQVfV99C4/P3k8WwhSSiyjCwrrJw1W902aZKgqEqBVELXiT2fo/unAjk0+rIgTtlCXmRD\nMFu7HpqqQCKgfptWk2POKFNnNHbIcqE5XdNAgiiO0DSNRkPstObzJZ//mTdYrdb4QYBlltA0Vfg1\n94fEScqb3/gssizzwof/BYah02k3URSZ175SYTKBugWf/9yKt2/HlEpGjuiyqNeruK4v1F8Th+/o\n+QBw3cBOQ5Azzk4dQWxSZHZ2hKudWxa8l2dPHiGqItpCuqYRJcmloezR/VOSJKVeq6Ioihg6JzFm\n9niP6SfFcj7ndq7seyPso4XOI4mj+LizFC0QvhmL8g4lQy8G1ooiE+QyJADdTovT/pDeVqfgCwBk\nkvjMoyjBWZ+zZcIoLmZnm82HosjFAL54D6QkiVA8ni5WTOQmJ3qZJFEhSSgbEeu4xEHNxk1kBs6S\nfduitvgqZ7UW4UgYZm3mJvLcxzDE64VAqqqXzLqm0zmu67G3t09s76OnGaXRl3GbHy/UAB4m7216\n/q7nXUJCxXGM5wWkF9SFD67sEuQAjDRN0VTlkd3+wwQ81/N5eISt6ip1/Vwfql6vXhI4LLzHk6BQ\ns0yShOlsUbDkT04FWz2KYnZ3t5hO50iSJDZR4TvPPmRJujSbuRhpmj6SeOIwegSR9TiOSPYe8vN4\n79AZfwBCkiRBIEtilHzX3x9Oin6srxvs1exiMShPXysYt4PBRPSccwE9XVOL0n06WzCThoylPnES\nIVkyRlMw1yu2RbvTFAY2hkG1Ijy/+4OxSFjqmq2eKaSqc/SRmsNH261GvnCJHX2jVmGZLnjtKxU8\nDyxLDM5vn424srfN/t42ztpltRLKuGEYsqUOqKtLZEqwbkB5hlNf0++7GIaO6/l4foDjrDk7G+K5\nHtWKjao8m0Dk3q7YMUaRGDJH4eVFVFFkXE+0IlY5j6JRr6HFz/YV1tsXWhxv/fklm9jHhZxGtCZv\nIMtiLmNc1VBNBUWWkZCKOcV0JljM89miqChSNSWJE1aOm3OAconzLBPkyHyBukhAlGUZ+/r5DMDW\nxUxruPZo1ipYWUrdFIxtsU8tc70pgA0E6/waRtzyrrAeK/imhVoqFc/d63ZwNJ1mb4fdTpO9dpON\n1HCapLiOW8wrxEESD7iB5o+Knv7DENZNz196mB2digV77XqoqiI2A7JEEISkaYptl/ONwKMSJv3B\nmP5gzNH9U5qNy0PyTQR+IM77MTGfL4nDGP9Ce2lvb5uKbRXvs1ar0O22BDw4r6qQJDrtNobxziKF\ncZogS6INnCbppTaW0DgLLj32Toz092q8nzyeIdJ8ptBu1kmzjMlEmBUtcoKTsl5DlrLPWzxvjxjo\nHwRgoazY2mrhuh66plGt2Nh2uag2alWbYKCgLWxMp4FZMpi4I2RJ+Dl7rsdJdA9FlhiNp6Kvrigo\niky/73F4OCXIzZM2iqFK3lffeCdcvbJDfzghnKZ8/GMrnju4RVJ+Az+9jxZFnA4n3JlN2O51eb50\nn/liiRQsuLeuM1P2SZM6khQhuTYsqziywhQZvV4jzGAUxphmicQRLYd327k9HI6zLobGhiFQQ4f3\njpmMZwR+UECPS7n1rLN2GczHxA9On+l17Lv3ALH4ltLgqY7RIreAzsYPEmJPyFrESUIcJ4LMGQQs\nlg5eEBAEAYosoabiM6rYFiXDKMQTQbTPNovmZs6xSS7mwuLKFZHk7BKc+iFdxQRfbDT6zhlvTL9L\nxZJImRGFcS7tknBQs7HLJr1uCy1TqaUJcsng4Noevd0up5M515tVKpu1MU0K8UFZkanWKqxWa0qG\ngbN2c6OziKS8xZYyeKZrLSsyi6VDGEYCFLD5DOwysizTaTeQZeWx0NjeVhvbtlBk6RGS3vFJX5g3\nlYxL1enwgsRIvV5lPJ0VqKrXZq8DouW1kUKxyxakGccnfcHNySVP1msXRZYZjWdMcwmd+XwpyIBr\nF9f1UVUVWRHDc1mRH1HZNk3j0mPyw4n1hyB++M7orzKyjMVyRX84oVqxqVYrxHFCp9XgijnhxfIx\nq/WSW94VwsYrhZb/9M6CeT7/kCSpaGl0u2KBSOIEQ9do9Bq0coTW9doNHNfDD0MqFRtV0YhjQU4z\nDB1FVeh125glk1rVplat0Gk32eq2kWUZVVVzq8+QOBZ93JJhULYtwfjNfcHv9oX3gSpLWEqJw4XD\nd5SXSNOMeSB2i2MvgPKM3WqZpi2jeR5NRaItQzhfYCoy+xUL2dJY6AqLXG/oWWLlrIsZjef5hfTH\n2WKY2/uqyLLEdLZgYA+4NQDzwQhn/O7s6IfDeuMWg8GEWH9KCe5SBUmSCHxfONGlmzaQWOw3P6e5\nudZ2r0uSCqjqJiGc4weEzMx2r4uZV6jbve6l51ktV4xHGwhuhqLEUIIgCUGHHfuAG7UXWY7WZCuV\n4Uhcg0rFLtjt/eFEIPJcDzNNWIQuKjLyQ/MEoyQWubPcuMsqm3iej6yIuVN/MC5aKZlioToPHrk8\ngR/gun5hlrUJWZG5emWHg2t7XL2yQ5ZmxHHMaQ7pFQZagku0ef3N8/UHY1ZLp2j/HN47LgyY9nZ7\ntNpidrNZ/EHMzS7G5tiPN1597MeaJinDfDPmusJfZuMf0+k06bQbwnNEE/eSaHkJSaKT0wFH9485\nOxsync5ZrdaXVHqn03lRqRVV3DuEs/YIwvgSv+cHPd6feTxDyIqCrml0d1uMRlNKqsSL5WNCDZb2\nTVJdpaKpVOw6o9GUbrfFcDih3RLVxNnZkDCKCaOIki4SQJmQMIrY3u4KUcDlAj2feF69ssN0OmcU\nnxAnEVkGxraGPBcD18ViRXdrY0Cz8SVwCtSOsKIV8uKNepUoiskyH9MyuTeaFeflrD1azQZhGNJR\nVqi1XQ49DzlJxBffNClPTdS2SkNrINdUSoZOfzih2agxny/oDyfUqja7dYFAGmjP7k2QkRWGQp12\nk8FwTMtqYBg6K8clTVMce8Tq3jav7Gk00ysMc6b700aa3+CqIrPqvYK5eHCJRPfI38sa084HSZJU\n8G2iSCwoqgIZhZSGpok5zCqHKIdhVCSOJElJsywXVQRFEQvXhiEe54veZncaRjH1mincAeOUytpl\nGoNvLygta8z7c1xNRdNUNFWjnc8shFVrqXB+3EC9Nzv3y5L7l2cX29tdptM59Vq1QB8d3T+m2WgU\nLZfY3keOXPTpN3GrHyz6/ZvneDf/bUmWUGWVJEkf4NPZPwAAIABJREFUqTYu8iSMkkGvZAi2+nzB\nynE5uLZXoKTiOGY8mRcoq0318TjXxg18+eONV3lt9jofb7xabEw20iQXo98f0e1cfswuWwWQ5Gk9\nPzbnmKUZnXaT5crJVQciDF1D1zV0w6BkaKiqym/+5v/Kr/yNf1NwYN4j8X7l8YzR7bYI5/fZ5y08\nz8XvfILDE5nVUiClNlHOB3a6rrFYCvnn7e0uvW4Ls2TguJ4QYUMMYZNEIKo2fdKzsyHz+ZJarcp8\nfQ7/kzyV5cphMl0QJQkP7s/pn63pD0asVoJPYNtlarUqcSyQWKqqkKYp1UoZyxSy2rGi8JkP32TL\neJ7JZMZoPBXHhmJneSXftSmKjBmJL/RFNNR4OhfJbSZMoUDsnEfDKYvlilIYYMpPR4wy5RhD15Ek\niXarQcW28H0f0yzRbNSEdzRwZTxheH+bD+6KIef46L44Xnq6FtnDf7eu7RMbFbInsHozZCKjglPd\nI01Tkbx1HUWR0TUtV1MOhVWv4xas84cjjmOyVFQcB9f2kCQJTVepVCvUc0IhiM1CrWqTItqAKbAK\nVbbqbRrVKlW/XSQYNZeG3wgjbnblrucXC1yn02S9dplO5wR+QLNRewQWezGazToPLswQVEWjUikj\nS+fLRKpZhPUfwVzfeeT4MAgZDieMRlOO758WxmLfTxyf9EGW8PygIAaekzrVInG8G7eiUikXVc3N\n8gu8Nnv9nTnckvRIC2oTmyR1eO+4eOxJ59jpNDk+6QtOiFXCtsv0eh2hBt0Tsih22SwS8N/9u3+H\nZrtdfNffC/F+5fGMoS1uMQ/LLOSbNDriRrwoELdYrKjVKlhWqdD1ETf5GkVWmc5WbG93CaMY3w+Q\nLwyW6/Wa8Bjw15hm6ZKwHggmrylpGDlscePYJpBHQrCx1+vg5b1byyyRpAlJmgj468LBMDQxQFdU\nSnqMZemFYu3eTo1oLaqNXrdVSElsXiuKIuJIJUkSsiyj3x9d6jlXKgK+nGUZ29tdfvuTf4osK8iK\nTKzrqEFAGEaYpsHKcdE1FVVVieMY1xOJJknEgLnZqBVM7PjeA8pxwh/JWzzXFkTMWtXG2dumG8X8\nbuV3nuqzs6sVpgMV5bmr4gFJ4uyVX6b3rd9GC1bIF4bnsaxAucno5V8m8gQsVJYl4RGecxw2zP9F\nbtHruqKSeHj3aJolZu4SDSHsl2WZaJNEEaqW6x/lQo6erHAlv6b3T0RSGczHyLHw7974oruuR1R1\nUNZVdE1lOJ5SMoxH0DqbHf5oNH3Ege+iPtPmsatXdoqKZHd3q/ABvzR3kCWWyg6NHEm4QUtdhNP2\nB+MnynwoT1icL0aSpAR+gCxdJuQ9HBdf83HqtZtzcl2fmmXCGqbxnKbeKK5JEMYYT5BO35zDRQXn\ng2t7YhgfhQXo4XGx99D1facIA/Fdfy+hrZ46eUiSpCAUiU6yLPt5SZL+S+A/oPja859nWfZ/Pc2x\n+WNPffwPSkhZQmq2WSwC9ndrl4xbjk/6xUJYscvIikyzUWexWKKqCoPBiopt0Wk3CfyAIPABmdRM\n2NurEodpQa6yn7NYnDmFBWc02qZRr6Jq5+ZNsizTbIhk47kezUYd3/dZO2viOCGuxILtLoGUgVky\nziuj7YzrcZUvf1nn5s28xG41UMffZVa6ia6tmc4W2HaZJElYLB0MXaNkCFvbNE2pVSuXSvjNv9ut\nBn4YEfgBplli5axRU4XQ9VibJvuterHTtu0yad5jBkEwi/KW0Ndf7/GFL2zxrW9J7F9t47tw4IFt\nHuEHEpIkUbHLeICcQzQXSwendK5E+8J9h8Orwme+IcE8TeHafvF7WZZJZYuzj/wq5uwI++xbaJGL\nK+nc2e2RVj6GokJiqKAoxKqCliZIskwchEUVsPFf2UBB67VKQQFRFBln5eAaAbVIJQhEcl2uHCTE\n/CvwA0rA2XKNmSY4zprlyuHuWOa5XoyplMjslHF8RkmqISOTkqItbSJizuIJ6AAuSDAZPkpUk1OZ\n8DQq4LYV27okx7G32ysW34toqnq9eqmiOjkVQ/MsyzB3P4G2uMXW1s1H75V32N/XqpUnkvHSJOW0\nnxMedeEgeXrSZ+8pZM3fKTbJr2hf6ecGTIauMp3OSdKMOAiZjEVLd+MR4qzdR3zOH5z2RRLJq/Hp\ndI4syZfsZX/Y41kqj/8YeAO4eHX+2yzL/uvv89hnOf4HJCQSvYWuDR9BWGzE++Dc33y9dknyCmCj\nE7WRF9E1/dyP/GxNqRRTsS3CKCby4tyQaYldsalWykymC8q2xWQyY2+3x3A4ptmooWpaPv9YkiQp\npZKBpmmM3THb3R1e+cif0+u2GI6npKmwKd2NxQLiyG+QKG0UNeVzv/Nh3PjD73oFTDnmT/6NW8Xu\nMQgjlstzVdQNDNIoGSRphqoI7a0wiimFAQ9WUCOj120VSaRSrTCZzPCDsIAyt1rwe78nFiDLgr0r\nKZWyxGRi4no+K2eNaRh4QUAUxbiWYGk/Evk1ngHhaEyzuXmfUoGeQ5LwmtfwmtfIsgxPVhjHb9FE\nRV44aDkzW9rWCTKDJEqo9+o4c5+yrtJqN1it1kRRVFjuCi/vDUosxfYNojQuYNNxLKpBPzd0UnST\ncL4QlIQ05c5URiKjU2vxILiLlmqU/Bq+HJGWnn13WlUsSCnMt8IoFskrB1c8XJlsInuI7b1JPpsq\nK6rdLLhMF+VR3omlnSQJW1utx5olyYpciD2C+B79yyQO5QJEdiOoeHH+sYlNBXN2FgnfnQuePJ7r\nn/NG8ji4tsfZ2bAAPWyOn4xnwk55JYjAk8mM/f3Hizi+1+OpZh6SJO0B/xrwPz7rC/zLHPuDFlne\n+93e7uK6QpNqNJoWN9jV/fPdW+AHNOpVJASufbEQu0E11xU6UO9yRXoblZDMzIjaEbphoO2qaKaK\nIkvousZquWK5WqNpCnbZpGJbKIrM2przIDji0LnNoXMbTdNY6OMC8VIulXFdj6tXdvjjbx3T6u7S\n6e3RaG/jhjJuKPOJV65Q0iw+/Y8+/NTigl6qMhpP89aJj6FrVG2rgE9Op3McZ81isSLNMsIoLtpP\nSSKmxUmaCkFFRZArRyOhJbRJHL3eNpOJSBq/+ItCh+sbX5eZTEZUq3XRjktSXN9noa3RNJVm6Qm9\n/OW5xpZpGoUMdpYK+RZFfdRveu4OaSstDmo29V69mBM0kgrxPKJa26KmW/RadWb581cqZZrNumgt\nlgyWqzW1quC7KIqKoqh0Oi3arQaapmKZpthE1GtUWk1sxaPTbnJwcMBg9CI/9bGbKI7Y0W/L+1SC\nFpZi8mLvACt+slT4k2K3s4WuaZQti5Xj0mjUi4rvSe0l1/UZT8QufANZPTsbslqtHzscf9IweXN/\nbKC09XqVNEmZzhfFrOZiOO5TOFnlEfiBmLOMZ5fgtJvY29smTVLiMGa73uDwew/wRi4v+jd47fB1\nVmdrvJFLMAsIZgFJFGOZJnEYF/81atVLP8dhTJqkbHXbJHEieDL5ObbaDRRVoVIpi2rnh4/eUcTT\nVh7/HfCfAQ/foX9HkqS/hWhJ/SdZls0eOfLJxz7t8T+QYVklgbgqGYwnM3EDSjInpwPazTqappEB\njUaN6WxOrValbJkCbRWExFqduP6CmC9UasyOl5gdg9WDFakCYRKyvWNzdhoShKFYLD0fTdUYjaZo\noU2qh2S6TIovfMhpEaQhmqax9tcoTsSX3+hTK5f402+8/cRzceNH2w7vFFEUcZa3FkbjlKtXdtju\ndTnrD0mSNIfVythlk8lkVtjrgtDBCoDhcEySpmi5hLwYxic0Gw34+uvE9hbPNWOO7hnceF7MUPqD\nNZPJDMssYVkmQRDwwe4HRMshSLF8A7d0vhi9ecXmhfsjDnMF2aRaZzYY0Gm3CgRREitclOGaLUOW\nzpIXdp8DYDlcIEsyai7I10gzkmDN0emCnZ0ucZRxNnAInDnd7TZyBNk6wbBMCCCYhZTLYrFfDwUf\naD116e11+NatAa0sYh5n1DWDlbPEcz0+/Oo+f/iHEqYJ4/6E3f0em41vtI7Yq20hZwlnywVLNyKR\n15RdC195vDrubrPHYrBiNVqTOjF1q8LJW2foVYWm1WJ1tqZcs0gWCYEWoasqs/ECo6zTaoo2Y7Ne\nI80yqrnkxoMHfUo5os6XxOJ6MSTv0VWzZZWLisVzPWqaDR6M+uNLO30r1fFGl8EH/dGEdqOJXlJJ\njAwj0sjMjNl8Sa/XYTKenbeWckhwfyAY/b2ttugGmDoHL+yxWrtUKmW2Fm3eSN+6VIFIroKiKo8l\n9T3OFtfz/Xc0etrf28Z1/Ue8O34Y4l2ThyRJPw8Msyz7miRJP37hV/898OsIdP6vA/8N8O8/5bFP\ndXz+HH8b+Nv5j/8gy7J/8O6n9VcTSRzzvTfeomJX2N/fxvcDXM9HVRUWixXzhVgcTvtijLPpiVtm\nCUWRkdBIk4xKu4E8fSCG1Fd7DE/HqKrKYrHEtsuEjQhpDkdHcyF10GkjKxLO6/+I5o/9WwRKSNJP\nKak2q6VDmtkEhIUEhVkqYZTBncV8+sPPF4njYx884NbhCW4gEScBLx1s873Ds2e+DtWKja5qBGGI\nJEuCVFYyqNfrzOdztrptBsMx09mC/d0e0+mcWsVGkiVGSU5Ic9doqkqc+0inacp+EPD6aMpS3uJT\nN+uMZzPKZQtVVgqYqWHodDpNHhyfkaaZQBIFIWEktJ929c7l/nQ74+Dr3+LwOQFZfv76AQ9unRH4\nPqmRIamXb3xJM5C2U+aLFfPFAsMQlcR8seLB8VnB3ZBVwTnpdessVw5ZSeN07XG902CwmGIY4jz1\nhoZRLhUSJZIE1WaFUZJhNXWI4LmdLYzRKVudLppeYjRd8pnPqJydnZIkMpqucnjvmINrewSpWMC+\nO7wv7t4qyKhcubKNqqp8d/goCqrWrXB0/5Td613G0zk+IWbLYLvX4cFJn3arieOssTpNSolAG3V2\nLsiFSBLIUu4OI6JStc5bTu2XKI/+gqDzY+cv+liktsKm+XNxAN9pGPQH4wJB1Wk8Wlnt1XUk6VG7\nVjv31LnoYX50fMbVKztPHFhXKmUGgwlXt/ZRPfVyC0sSLU3P84uW1Ca8xyQP2y4X4pCbeFgT1LJK\nolOxXKNqKoauPRHR9V6Kp6k8Pg38giRJP4foKlclSfrNLMv+5uYPJEn6H4DffZZjsywbPMXx5Mni\nX1nCuBiSJFOr1lgsF8RhB13X2dpqFTuSJEkK2Orp2eCRL6+syJhl8YXMkphOq8HZ8VA4E+Ys9cRx\nsRsWDatG066zWKwIwpB6o4oDTP/if6f1yV8hS8UMpN6ocnI6yBOHDKQoqgKSBfh8+62j4vVLJZWy\nVcbNkR1h8v3JsK3WLrZp4oehqKaCkCgSulsVu0zgh1SqVQxdzasLDUlWiMMQxfOwdY2FVaZSiZHc\nEkmSULt7xB/JWyDBT/6omB/VKsJHZDZfoCgyW1e7nN4VFcz+3jYPjs/wch+Oq1d2ODkZ4FxwmhMX\nXdzJJcdhsVZIq2Wee1kMzQM/IIxiXNdnMp0Ku961INkpisxyuabVamOXSzmYQQYyZFnKK8uM8WQm\nVAcaNaazBfdGENvC5S9JBRDB0HUhy5F/T05GU653qhzdPyVGIIJumAKhNJwGjDyF6z0DkrTgNVim\nSeAH+EGIUTL4YPcDACx8n6puFDvlWlQmrIjWZUOuUzNFK2l/t8d8scQsCaRbrWpzeHTC1f0d5otl\noRb98KK2GZAbhi4kWSTpsbvyxzkWzmZLGg8NkLM0e+zx0UOopTRJL70XoSH26HEbYcGL0X0KM6et\nrRaeF7BrbnPmD7m7vs9z5SsFEu5hVnuapI8MzcX7ehRVJT2cPfKoVMuslmtM8/FtRzEPe+/0ud41\neWRZ9veAvweQVw//aZZlf1OSpO0syzbb1l8CvvO0x+Y/v+vxP8ih6sJ/Io5jlJwVuvE2Ngwd8/4f\nMbkPrU/+yiPHrlZrWoqas4AVprNFMStZrdZU4jJBHNPvD4U3dckg8ANan/wVTk4H9AdiWH56NuTq\nlR2qFTsflAvUyNr9/9h7syDJ7uu883f3vJl5c8+srKytG90NdDcBNNAgQUomtVCWHCGPKNOyJY0j\n5JnQjGIeLNt6sOZhIjRjvsxYkkMxmtAyDnv0Mg+iKVG06QhKHEoUIVICCYJYSBANdDfQ1bVX7nvm\n3efhf++trKUb3SQlkQ6ciIrorsrl5s17z/n/v/Od75uRSolV+krR44lHN+gNxnzjpuDwZ9M6oNPu\nTShY9+b93yvK+TzNTpe8lcX3fMqVIv3ekFS0Kjtsto/dUJPxFCIt2mLaZDafo6gazNfIK22cbB3/\n6RU+BEjBgP39pnBOHI3JWmlKpQIFP6BDj411YZC0v99EkiQ8z0dR5Gha+WxoQHnvNZZffJX5I+fZ\nHk64WBJJYO+ghSzLpCKhRMdxEp59PHAWd4KKC4kjpui2Oj00TQy9+b6fkAAGs1lkrySxP5riKTb4\nPkT9qJW8GNiM4byYfFBfqjCz92jN4PaBzcUKiZ1roVyi3e3jeT7TyHJWvvXZU9fX4nl3XQ977iAr\nIiHFZA0tmqjWNDEzFPek7mzuoGlq8hr9/lA0yMPw9HL6RDilp9je2ae+VEWL/WROFI5YqflkYj55\n3CDgoMxCkzoMAvT72MKCSPDD0fjMJH9WGLr4rt9bvMYLvZdZN8U9eNbxvdNOITatAu6r63a/QUpN\nU5Ef0srgbzO+nTmPX5Mk6SkE7LQJ/E8AkiQ1gP8QhuGPfyvP/16IfC7P7u4hiqpEEhBzVF1lMBhh\n6Jqw1zwx+LyIvw6GI0q6R6mYZzKZkrHElHhss2pZGVqtNoW8xWA4RhpNqFZLSWFK6WK628qmQZoy\nK86xvExCfxxP5vSbfQxdZ3k5h+M75FIh2hMKNa/MbDJnOJ7Q6XbZnz188fACP5kHcP2Q0WhCbzBk\nFsl3xJ83kzZRZYEhtzs9KuUivufz+n4ATPi775P4wp/XKJeh04Ef+7GQmzdFL0VVFMyUwe5ek5Rh\nIElg5DK0sh1y4yyqqlIp5JAkOIwasbE/+FmhXH+S8y99nTcydYiKx/lzq8nfO90uruuycn6N3qxH\nyjCYTCZJ4jUifF9WBFxlmilUVaVcKrAXDaEZKUMIJJoGs5lNytAZhVAiwPE9wgh2GU+nOAM3+ZyL\nvtWmoQMe9YKKgsPaWoPJdIbnOqR0HXQB0dhzmzHQef7jpwrIaDQhkxb9piONMbEzvbu1g6Ko0bR7\nmMwSxRCrph4Nqc1mc5GIFxLaeDwhDE5PcwdKiovGFra2fMwvIzaECgmpL1XObJDDaeHAXn94rHgY\nqSNoK6bSgoCtBsMxQSiMxDbWG8fovvebtZAVmU67R7lSTBhYDe7NjFpkpHXaPQFvze1kNqPb7dNY\nWcNxXBzHJZsr4swFoSIMA/RUlpKiIUsyrmdjpDIEoYRrP5xx2ndLPFTxCMPwC8AXon//3D0eswec\nKhyLz73f87+r4x6LgnilkjJ0+oORGHpb+0FSNZ99r03JsyjmLVw/xI5gFklRsazMMYbKxnoD1/UY\nT+bkc1YCieiaij23k6G9dqdPY7lGrzeg1ZyTt7LY2GiaWPF0Ol1UVYjybe8PMXQd23HQixq7e4es\nNJboD79105pub0C3NxDKqJl0suPQNS3pXxTzFv3BODk3sizzxs6E4SzgmdkOPPmD7O1KPPqoeM3V\n9QCQaCzXmE5nybBgvVamNxixFOmAdZgzz7qYfloQXCJxwljfazga02p1GeVUHjFOw1dGRed2d8jF\nkpjAb7W6mGaKcqlEp9tly75DRalgGFpC6wUwUjpBGDAeTymVS8ymQjSw3e4KyGzvkNlMCOZNpjOC\nIBSyM8U8gR8yGk9RI6ZZfaki5gJkWZiIRQnVntssr2wAMtMp9EewqoywrIzoWTRqbO8cUK4UOWh2\n2DhjV9vvD/E9H8vKJNpOcSGPe3RxQu1Fu0XfF+KHpVIhaWgDx5Rl9/ebBGGYUHUHu6NT7x1DVxtr\ny4lfRlxE+lGROtkzWIzForO6Umc2s49BPHFPpFwpsr2zz1rkxVFbeM04wcfP7/eH5KzsPXcOcc8E\nohkQXmYlWDoTWqtWSzSbHSRJSorI4o7DdT1e25xwZb1Id+TRbdqcW7K4sT1lMs9QKMGbez5LRYWC\nqXHn0OHuoc1aVUeWJTZqBt8ikvy3Et/7XZu/wTipjHmSQTGJqLGqqlLI5wjTJkpKwkgZ4kcXvs9r\nq8uEvrCcvbu1x/bOPtvbewS+YB+FgY9uGInct+N6dHuD5HVkWUo0rHRdQ1YE9CVUQT3WV2tiiMtI\nRSq+mcQSd6WxhO14yYDjDzbOlrS+X9TKJeq1MrquMZ3NhYKoDHPHSZhWIPxHJtMZg+GIIAgYzgJ+\nKDgk8+xTzMZ3kKVNfP8WirxJLj3Cno/pdPuEQZgon8qKgud5dNo99vebzLdsHGyymRSyJArpxnqD\nQiGHJEukoob6YsTCecr1J6lt72AfCiqoqqpYOeED4XouV69cYhbMeSS3RqGQY6lahgiS7PQGDPoj\nBsMxw8EQ1xOKxWakJeV5Lmbkp1KrxdIuR8UcSGx2Dw87ZNJCgFA3UklCnkxn9Nr7FCs+6TRUKiJp\nDwbCtbLd6SeCk+ZCwuwvKBEUCjnKlSL7+03ubu1FK38d3TCOzkvU30ibBqZpkDZNCnlRaBchm9TC\nZHcmk06OE0iupzNDEpIcsiInxegklNTrDdnZPWCyQKuNC8f2jkCzg+A0jdpxhHvh2ur9ZyfGkynT\n6LUHC3TtkzvTuJjt7h0yHI5pTJf56uCVU/MtcVhWhnw+m+ygFifcM9kcE9tnOPVoD102ajqvbU7o\nDF1GU5/uyGOrZdMeunzhmzMeqad4/Fya80sqo5nPZBac9Bf7ro53i8e3ESeZH6VCjpbaoaV2mBeP\nVnBN9QhWiUNSBLZcr5VZW11mba2BrMjs7B5gWRkG/QF6BMOI2Q6RNG7d3hRy0JKMoigJw6uQywl9\nKMVBUgR01Ox0cT2PVqdHs91FQaGpdpAlUGSZYspjm0sP/bl3pzO2pzYzTawse70hiqKiKmoyOzAc\nTdBUAeHlcxZvd1WeDAao1y9FVqwK5XKetJmitmQiq+J81ZcqwlwrO07O2VKtwng6wXE9VhpLlO0i\nLbVDe9qjEQnqtdQO+4OWWMUH4bFdx+pKncPDDt3+gEwQYCyZ7A1FYzxrGonrXSzbHScOSZY4ODjg\nzuYO1UpRcPgVmWw6TS6bJghCxpMpalRg4knkWOoiTvR6ymBjvUG5UKCxXCMIfGZzm+XlGqPhMClu\npVKBbm+FXluh3YZstoUky4KEYDsoskytUmI2OWICNZsdMhmhlBw3t0HMIqmqkhRWokS8sd442oUt\nFKCzVuaTyTSRWsnlsqf+/iBh3mOnUSzmWF2pJ6oKcbEDksLQ7pzWrdJ1TRAQorgXTClLciI1P4ks\naQ8O28fuwcWiu9JYSkgrcQFZVMlNPo+ZohXJwZ+MyXjItXUJU5lzvuJjzydcXAp47yMy3/eojKXP\nebTY4XzF50OXVeazEZY+J/B9HqsH6PIU9XsoI38PHerffoQnlgUn/8+3odl/cNBisADPzOYzQT+N\nXjMMYTvyrtBUldHkyNJS01TMTCqBP6Rowbax3iBjihW8JEmUPbFKUmSZxlKW89kBKR5cfwcgrfhc\nrBbJ+x4bBYs7u4cMkJjrBlNZxstauKaJpqqUSoJ5FkNzRUsllNOsrtSPTSDP5+KAd3YP2N07ZOIf\nFV7X9eh0+9Sj1fzO7gGu65INspihgef7ySpQMqGQs0CWaDY7QsAuCBkMRoSIgcUwZaDMZvR2o9Wo\nLLFUqzCZzjBlkZC/OniFF3ov80LvZQ6tVvIddLt94SUyndLrDwkCIZE/mkwIArAi2qaYLpZxHJfZ\n3CYIAprNDjNbfK7l5RqSJNHvC2r2YoP6kfMj9GyLQ1vQq7NZkbRLxbzwZ0kZmJkUuqYmtqaapgoF\n1zBMzsXO7gErjSWh3juZJ9fGw0TOyrC71zxlt3uvCCQ1KYSxeKAkSxweisXTYnGLYzmC1paXa8Jz\n5qCViINWykdwUByj4UT4xkefZzY7PtsS35PpdIrpbI7v+eQjUoh2opF9kmARF63VlTrPFp/mpdE3\nsP2HP28LB3PqV2f1YPz7qDp/N8e7wogPEYtb2aVqOeG5n8RmT0bNOy7VMBiMiE0q4xVMsZBDVhT2\nIqZRzCoaRZ7n48kUXde5dPEcAJPZDFmSMFMGnueJmxzY2RmSjbyykaYUSiqFYj252RQU0t0XOAhX\nKNQ+gL97C0OqY4fvfCmYssd/+cGvMhpppFIG0+mMtCpgthhT1wgp15eYTkbJKu+bd0c8GQzolaqM\n93Y431jFntu0u31BjZyJ4lYtF9E0jcNmG/uOJxRnx1OKeQsjZZDPZaPd1hg5C1Sgs9tPfMyVtEy3\nOaBUKuB6wr53Z//wiDmlyKiPX2b9xVcxP/h38FyHX/mV/5Vf/uV/RWNljYpTw5bmZFWL6XRGGHqE\nBhiVFLpukMsHVKo1uh2xgpUkiWnU3ygV8+TzFrqqMbPnQrq/Jmjc48kU33EFg2w4FjL2gxH5XJa5\n7TCf26wioJ39/WYCKU7GE5aWygwGIxRVw4u8OPr9IYVCjsl0xmxuJ0wzTVNpRfI1S7UKB4dtKuVC\nApsdwTcxrVt42wdBeKaooKwox0gFJ0OIPELg+4ynM6qZWpIcF5+3tFQ+1s+II55dWYx6vXrM/6Ld\n6R/JyETHuwhZ5XJZOu1eInnvuG7SD6nXygxHE6ycWLzM7OOFYBFyOiviJvpV61GM0KDbHSArMrqu\nR5a1csIliF1GF+Ow2b2vTMtZ8U6y9t9N8W7xeMhYWVk69bv7FY6zIp+34ISSc6zztLqap9916Kh9\nlJYsnAANnaVahd29AwbzOf2meLKniAut0xn2eMikAAAgAElEQVQk0Jbv+0xm4rXiHch+q00lNSM1\n2iXvpzgwriamUMPhiOd+4gZfeq3Ns/UsVe015tUP0O32cVyPcqmA1X+RG5NVIZcyPo1D560s7U4P\nPaI+TicjdvcrvPkmrK3B5XKb/SULyXHQUI9Zhy4mdiNlcHdrj3K5RDaTIvAD7LmDHsEUMX++VMqj\neUKhtlzJMuIIN/drPt1mP8HnFwvr6vIS+/tNaoh+1e/8zu/yC7/wP/Lrv/5v+dVf/VV+8zf/L3K5\nHOfOnePzn/88/+b/+N/5T//507zyyit87GMf49d//Teo1Wr81D/8B8DRKjdEJK5+f5gk6JRhJCvm\nfM6iPxhiZTOCjZW3BGMrZWASLSAiedDl5Vpyfgr5LKPRRDy+26dcKBwbSCuVCkkCjBu38Xvu7TcT\n1dzVyIhpsQkcN8BlSWJ5VUB/nec/DhzRyxchnpMRhGJHkM1mME2DMqIHotg9fON0P2RjvSGYhQsM\nqnsVpoS2PpxgpDTBXDpjniNmSum6nhSIRUaUkTLIhuJ1rFyGYiGXnL+Dg9Ypn/HFiGc94gJyMXP+\nHQvBSQgtlXp4T5tF+fsHiRuXr3wYOLfwq80rb9z4/EO/8bcQ7xaPh4jv9FTond6I1azJYbNN2hSw\nkz5LCW2ft8XqsLFcY9KbMZ3NWVsTSaAL+NksjMfJirNWLTEYjJjOhBTCstbE6GwCsJYqsDOvoi59\ngM5hh4JpsLffJLAs1lYbGLrKj1yv82cvHZDVV3gq75HJZnF6fbrdAZYMadPE9VzyVvYY5jyeTikU\nc/i+j27opDNZ/DDNlSshpUpIty0j1aqwuysms6WkX3vmaneR4tlYriVDld1un2IhLwQNY7vWlMHI\nmOJwfEUZOzje3dpjY3WZQpSsD5rt5DGKovAjP/IjFAoFPvCBD+D7Pv/yX/4L3nzzJnt7e3zkIx/h\nd373/+b7vu/7+MmPfoSXXnqJf/7Pf5FPf/q/HFsJx72HmGllGDqz2TxJNIPpDMdxMXSdfN4inxfT\n3mbKEBatrouVzVBDYPK6pqIqCjI2t/dGZFWH/mBIrVKKFJY9wZir10hO5kJRWEz4h832gr+4eMxg\nMEJXNYIwFB7wZxQI2Z8TKPeWQY8jZRinFk7K6C1c9Xpyr3iex/5Bi7XVZTKRN3nMmrpXxDt5SQZd\n15PFw8mIP1NcOMQvpaRYQLSwi44xk0knxeudbJIXpdHfl3+Krw5e4SLnKekFNNVAUhR2d3Yolcu0\nW21CQvI5S8jtRHTcUimeGTp6L2WBqnsyNP2dz/li3Lh85Z8BvwbHJjSlG5ev/M9X3rjx2w/1Yt9C\nvFs8HiIkJNGo1nRkSSZE6PB/+VbAuSWDjZrOSphOrCTjlantjY/p4thzGx04XxRY7CIOur8v5hqC\nwKdUzAsoSNOwbYc7mztUykXy2TSWlabvewyQOF8t4tsj6t7rePkGvbBMa6yiVkXiGAxGFPI6rdbR\nNtrNZiEMCTSFW7c3uXTxHD98rcafv9rk1q0i5y71GGu6GG4DNE3B9YQXx2Kz0I4aqoVNYcz0BVms\n+J9ZdRnZCoahEAblpGAskljubu2hqgqO4yLLJFAdiN1MPLfhOR6FfI5mq0u5nKfV6pLNZpgYUzSO\nm+dM3p5j5HV29w4xDD1pmq6u1JlEDW2v0+Xwa1+jvrZCGPg89v5nuHEgVvuP9PqUijL14df54PkZ\n8vgl9l7qM15SeN25wU999CO8dWeL+pJYtQ6GY/K5LEu1CtO5w3g8ZnWlnnhE+L6P53ksL9eSa6BU\nzGNZGVzXQ1MU+lGjdjGp6tacl9/s8yPXhddKfM4b9SqT6YzxzKbVOoLPgiCgVBJih4P+KIGj4knt\n0WjCbDbH9Tw8z8fKpvE9n3Q6lexayt/3s8j0Cc6UJz4dKVPsrhYLkBx6SeHY2T3A94Wr5WQyxUyl\nqFVKZ0JYi/GgO/m4gPd6Q1RFwcplkDkqJrG3TrfbTwYk4x3YxnqD/f3mMQdDONrdps0jCEqSpQUp\n96exfYWvvD7mh69t8OevDshnKly/mOUvXx/yzHn4xrbH46syn3/NRpGhnNNo9l1+7OlckhsUTRfP\nzSpcv5DlpbfGgP3AA+YLhSN9xp9/7cblK/x1F5B3i8dDRYhmmLz81pT20CWfUShZGo43p5hVGU7F\naiWbEiuNN3YcMimFeu44s8VxPUL/aIs7nszJZgTlM76Yd3YP6A/GSCtQt0RS+f5PXWLm3+8rexYA\nU/H4xLNfTH6bz1sE0U0sbqQxGsLcqOX7wuTJD9geTtg4l+Z8YYyuCXn4Sa8HhoBIwnaPXn+I5/uo\nqkpK18Wu48VXGZdLsFyF1wVDxg7TrK3HN6DDxkaBO3dOu645jqAbe57P7u4hpmkwnc2pVjWkYMrO\nbjeBN3LZTMJw830fZaBQ1gu01CMf88wjKbxOQCmfx3YdDptCN0x4kYgV7HY2y3q7g6ep7B20KNcr\ntKYOqjOl0PkCBX+GGkbfz6TJWusO9d0sf/Xke9lVmqytNtje2WNttUHaNIX0drePosh4nofteGQz\ngpWzKAkeG38NhqPEW0VRZEbjKUvmkStdGIZJ0ROfNWA8mTMYCGZSDMl1OjKu61GtVuj3xXmfzWw8\nX0jCuK7L9u4BtfKRoZGVTTOdCb/uUqlA4AsXy7jIBNy/D7AYzVbnGH0XRNM8jrSZOrOvcLI3AGeL\nDi7C/+Px5BR0FdN/Fye6JVlKHptOmwlMFR+H5/tocnQN3Ues8Kw5j2eLT3PgdFgxNS40DD7z1S6P\nn0uzVtHZ7dgMJh6OA9cvlPBdh1ohQFckKnmNSk4l9H1cz0VWFG7uuQxnHj/0pMVWa85axaBiPRiy\nEUFV9yocRL//tRuXr9z464Sw3i0eDxmSJHPtvEHgq8iKwngy5ZEnMiCHzF0ZjTmylMLzXDojj0eX\nVVqt/rGbyLIyKHOHeDObjaCZTNqk1eoync1RFJl0OoXlZfClACWU36FwHMXMV7GymaRnsChPkTZT\nbKyvsr2zT61SQlEVNgE/DJOdkOe5+H7Iy2/2AYlLa0L6wTBNJHuON/OpL1Xw3nwL/607KO+9hjKZ\nk9ENHmlYyM7gTImH8+dL3L3bJ2UYqG9/DuXyjzOeTllpLEVNX2E8Va1WIJAYTjxUVaHV6pKzMtiu\nQ2e3Tz5n4dgOfhAwUE9P56plmTETlKZybMUfp6bz51bxwgBl/5DZ3KY1dbB7Nu/Z/CSKNz6l06QE\nLvK8z/d//UWeu66T9dKUSkV836fT7VJfqpJNpwXE1u2jKUIsUlMVXM9PFgSB74OmYug6OStDL4IZ\nN9Yb0NpOsPrRaIIqK9RL4gpRFJmRN0LOyCznqzSbHcrlfDI0Gsvc7O4dIkuCPRZrUN3Z3KHZ6Yoh\ntNVlkCXiKZjpdI7jOCiKjOu6GMrZK/7JZIosK0c9njDAtp1ThQPAty4k/75XQ7paKbKze4ASGZod\nNDvkc1kkWahSL85TDUYjJEkiDMOEXQYgy0dqyIs+5I7rUSqJ3pAkSafYTcfo8t+CFEhdL/N8+wU+\ntPxBliyfMHSx5y4rZYuaFeL7Lp32IZlMmqsN6LS7MFfQAUVbobm3SxgG5GV43xrs7UxQAGcOO4Pw\nnhI7J+IcnCEmdjxCjvdCvuPxbvF4iAiB+exostb3XbrtNkaUHDYPO1xYKmNHwoPPXpDxfSfB4Bfj\nxmSVK3yZaelZseLzA1zXTXSOCgXBknFsBzVrkr+PFedZYSsq/d0DsmkTKRLyAzEl2+32sTIZjJSY\ncTB1nbduvU19qcpgOKZSLjIYtnn/YwU2D6c8d7hCfXaAYehoiiK0nF58FawsW7Uq9EY8Wq3w8qs6\nj17OAjVCfwCc/tyKIjOdzcghcOdFmYsghGI+R78vCoRpGliWYNaEQZisTK1MGqwMHbWPh4celQUH\nGxmFINLRshWRfAM/ZH+/KUgH+4esrS7TzWQob+2gVarYhzNWUk0Me3imwB+I6WnNGfPI0Ga/2ORa\n4T1s3d3h6pVLvH7jFmurDQaDkbCrVRT8uU0uIhKchEc0TQyL1lPGsVmDOPnHgopls4Ht+2QzaQ7m\nHc7nBdSTz2WRJSVS/dWor1wkn1WwXXEuh1MfS5/z+q5EPr/G+lKaTjdES8HcDUlpEgESGmkkI8BQ\nZTRNptl3WSnr7O/tiveIrsXADxNZ+eR83KOx6xvFB+qZrK7U8fwAGRL9NjhqonuesGk+q1F+v4ih\nv2Ihlwwo9npDZFkSRJXvQDxbfJov7n/pmJT7fDbCcVx0XSOTSSeqvNlsOvls89nolN7XyXjYhvnf\nZnzvHOl3aTiux53NHe5s7XHhHmyMOHHYc1s8dnOHK5kdbjvn2I6YNbIio6gKppGiXiujKRL1Wlm4\n1HX6yaDhg0YQBARqQDYrzH8WC5NtC5XeVqtLulCgEs1hlEoFNtYadHsD4TIHrJU1Hst0ud2WqVar\nDA7GrDZbKO+9xma1iipLXKyUmdgqzzwT8spLMq+8JCNLsL11esjL9wNy+18CQH37cwCJgu7aSh3X\n91ldqeN7Pr3ekDAI6feGzGc2o9FEQBURpFBRqqxoa/zpJz5P/+0hWlvjs//v53jrLzdpyGs0ag3+\n+E/+lGZHSJB8/BOf5O237/DJP/o0N954E/P609x+43WeeHwN6+2voARnD5zFoQQu2qsvMAvm/Plz\nX6K+UueP/+RPuXv3LpKsMBpPkh5AoZBDliSCMKRULuG6Ho4rmt0FSwNpysFhm8GCTMyKlWM5a7Ga\ny5PN5jh3Dl59ScHKFbi8dF4IZDpi6DMMQzRNQdV0vvBaH8exMTQZQ5MpZeHwsMNTFzK8deDy/I0R\nNw/HjIc9vnZ7Qncc8PyNEV+9OeLm7px0SuFLrw3ZPJyzvXWXwPePkUP8Mya97+u1Lb2zsZjnCV8b\neYFltzgH8u1OWmcyaWzHiVQblDMLh+ed/lwPGnEP5Pgk+oJGWVQwzoK//muJd3ceDxESEltdlXPl\ngK+85fH+CyoTZYWh7dMo63z5lsMPPJFjq2mzeWjzg0+IVcbnXu7z1IUs/amKWRJDX3/RalAv6hiq\nxGgkkqxlZU5NrQNc1DfZPXg4w6aMBNV6hTt9G7JZwQyWhRBcXMyq1RK3Wz1KVUGtfP3GLS4/egFF\nkVlZWUpE7VZLBk92BvDSIXfkJR557zVud4c8lnF5exzSajUJg5AvvmqzXhiTzljs7fs0lmvcvdtk\nY0PAF74vtJyGyx+kmM8xGI0pl0u0Wm1UXcf1AzzXTZhWge8znkzJZNNoC0NxINhXN2+9RblcplKp\nUK/XmKfnrKys8Morr/DNb36TD3/4wzx17UlKEea/srLCM89c52tfe4lnnrnOi9/8Jn//7/84//7f\n/wf+23wLHqBPm9dCXvrES/zSL/0SL7zwApcvX6ZYyPHZz/5/2LbNhz70QV6/cYurVy4JDwxJYjgY\nJo1tWZJASuH7Dp7toKoaO1t7XDjRBnB7fVxgpAzY2fFQIkUCQ1cpFCKDpggW+nvXYG9vLxEGBJjO\nZuxub/H+8xlADBe6rsKF/ICMAo+Wx5QrNcajAfMZPFYZkstlGY/VpJcQU2FB9Bxi/av7Rhiy1+xH\nMxfeMWYahGysrwBCncFZMJCKj7vV7iEj+hFnQZ8PEzFkpShnp7lYASDWexOHH9LrDZnP58l9clZj\nHY4KiAS8r/g0i93ubk/MG91L5mQx7LmNJMsJ1f0BYpN3bq1L0eP+2kI6NSX9btwznr6YC//tv/kV\nHllyqJcq+EHIF18b4ngBj66YbNR0JEnm1t6Mi8uCMbXd9pnMfR5dFdnh5s6M3Y4TPd7AcSH0BW6/\nH6mzer5PEIQ8Zm4xpIBevSze/w+vPPCxvvjRb4DkcafvsJY2aLa72EYKbTajUCuRUjW2hxOU8RjT\n0PF9P7HKvXTxvJihKBUIX/4GIGTNv3qjyXAW8MSjefK6xkGkXGpl0yz5b/Mn2yIBXK4LqfS8lWUw\nGifssbntJM6BfhCQTadRdR0vYmyNp9PEVbCYKxKEbmLMk7es4yycaIrcxUNv3HsNZG95qIqCbc/Z\nWF+l2+0znc1Z3j/kzUwafUkkjWtv/TH64c13PK/D/AbT9/8Tms0WVjbDxJmxq+2RcXOsm/Vkmv7g\nsE232+PqlUuJGjJhiO8HrKwssbN7QD5nCWHE2ZwN5W22gouJwu43d48Sa9X0scww0ToLwxArm2Fu\nO8xmc2RZTuTdY3FNgFEkt54yjIRlFw8Yxj2BMAxZXaknelKSJFHIW8fIG2f5cpyc2Ygj9jOPY5E2\nezLeabh2MpkyndlUK/fR0XrI2N9vChvcIGA4HOMHAYos37NQtNo9HOfs/k4ccQExZJ0n8+8BYHt7\nn1TKoFIuvuPuw57bdHsDspkMP/kLv87Lb43fcbvyDmyrKfDXTtd9d+fxUBFy/ZwEGGxvb1GtFPnA\nJRmB/rm8/dYO9XqVtaKMPRc3cD0H5MB3JhipLBdqARdqKtrgG9jzy8dePU6uABfNA1qpJ5JkJLb0\nD148nLnH7nDIUjbDeDzFymQoqAqHikJr6pBSPLKuQ6aYR0tbfObT/xnTNPnQhz6I7Xjo4wmqHzK8\n8hjFvJAZ+eDTj/DG5iFrlSquLaiPO7sHmEaKSepDPJOCnS2ZjBWQlgdsfnOLXMZiMhQ9IDOTIpPJ\n0ul3kGUZ23FRdZ3xdIqmahQKYlXbarXpDYXsdjptkrUsfGA8s+l0uujRObJyIqH17wrZkHTaxDSP\nL+Fbocl47LNeNZBUnaW6uNfclTrXTYvXdnfZO0zz5KUPEnY2kbzTfZrk21d0govvR5ERnvHDMbqm\nUp1WaeVb3PCGVIYVqlKJ+lKF+lKF12/cQosICynDIJsVrLrFRm4+b0HrbSFbnhbfd/0S7AwHvHkI\nUz/k6XMhPqI4C7hrfIzu2mp1CYKA3b3DpLHtuh6NehVZURLaaryriN9/Mpkek00Pg4DBcIzn+XS7\nfTRVYzqbvSNWH8ci2wrgfhC+aRr3XNWD6LUsFo6TtOAHjbtbe1hZ4QujKEoym+MHEpoq0+50E4n1\njXoOzx3R7XRImWnUwCMIXYL5CFU7vTMIJJWUbDAPbJwF2HNt7WgK/p2KpJEy7nkO7hVX3rjx2zcu\nX4Ez5jz4Gygc8G7P46EiRMAlALZ9eshnZWWJvf3T+j1x2PMjZpDinO4HyLJMPq3wiLHPHafBYDji\ndnfI3nBy35XPWXHguGiuh+/55PIWhaKQszAmY8z5DHU+x7YdBsMRnW6bf/yPfoqrV68mUhalixf4\nw+f/it///Y8jqxrjqYCMLp9b4rAjdiizyRzfDzAzKZ7/S3EpTaewVJUINUivpPEKPlJWQskpzCWb\n3lDIzJfLJea2nVBMDV1LdiCappIyjKQYxI+ZjMUxqJqGqmlMxhMm40nim26aJp57PPmXLJUfeDxP\nMaPxlTdHvHpnxnbbxfbT/MVrA67U6+QzCl9o1wnMIsE9bokQGd/MMy9sMJvZuK6Lqig4rkcum+HZ\n4tOc9zZo+21ueDd5ofcyo9GEq1cucenRi0wmE6azGfm8dUyGfzGOCfFlUmSjlb2qCIrx3a097mzu\nUF+qnJqTqFZLnD+3iuO4omfkB2iyTLc3oBNJ+/f7w1MwynA4Jm2mkGWJMAgS8UkQ7DxZkRKF4zha\nrW7SjI7vhzjk8HjfKAxItK0WfTjiKBXzp343ikQrT/Za7tVn2d07pNm8d09wY72RaHvN5jbb2/u0\nWl1qtRq/9du/y1e+8gKFUomd3X0+/1ev8trtA+rnn+CPPvMcE1dm7mvIKYtASZ36QVZ5Mn8VS80S\nEPBi79VT72+aBoeHnUQ5YFFh4duJqED8BPAvFn5+4m+icMC7xeOhI8Z872Uys7a6zGBw3Osg1pVa\nvHE9s4EUTI89rlYuYXgdeumrZNNp0maKalpn6vnH9H4eJHxPqPGCSMatllixr601knWKosjMdQMv\nEpeLH//FL36JP/jDTzKN1Ei9wV3+4A8+iec6fHNvD5wxn/vaHmYmJSbOU1l+6IdD0ml49OqA0SSk\nH6mlGpFLX97KUoxkv8tRDyKdNikUCokBUW8wZDQcosgymWzm1C4CjsTsTNMkk82QyWYol0vJLiSe\n5YijmvUZDHrgD7m2FnA1N+Ww72DqHlfWoDsekw72+TtXM7x94ccJshUC+fgK05dV5kaegyd+it5A\n+GusrS6TMnQgSGAJTVNpTJepzSP2XbCVfOdXr1zi/LlVXr9xi1u3N5Mp+Ti+qEbHbZl4psZsZidK\nypfXc7j+ChvrjftqTe3sHpA2Bd17pVFjdb1BpVISlObhKJpqHx0rUvl8LqGGVypCaj/WygqCADOV\nOtW8rlZLp/oR46iwO6WnSLW+nHS8VU29r6zHWeq040j08+T73mvSfKWxdIyuuxixQKPn+cKBs5Bn\nbW05oUW3Wi1++iMf5k/+5LM89dSTPPfcczzxxBN85jOf4Wd+5qfZ3Lx734HGOK5Yl7huPUFAkKgz\n/03ElTdufP7KGzd+b+Hnb0SaBN7teTxUPHXRCv/84//bd+z1FvHh7Z19Lhl3ue2co1woMIxuxtgj\nfe+gxT988Ucf+LX/7MPPUyoVEjxVVVWUdJpRp4uha9iOSwBUIx2pnd0D6ooKgwGZa9f45vY2a1aa\n4WhC0d9CrT8FwO1Wj3AwIJ2v8cb2kKzuUs+JJHcw9MmZYKWOrFzL5RKe42DldWYz4W0R/w4EXTeT\nzeA5TtLzMCNacqGkMh7LyXOAY/8+GZ4regCO6516TKvV5vy5VfwXX2WvXsNOH63+VwwdM5Nie2ef\nwA+wxrvUB7fQ5yMCLUOn8STa+lVmcwfLyiRQy92tvcR69qxG8gu9lzHlFCv+8qm/e57HzVt3AFhf\nX+N15wZLI7Hiz6bNpFH9Zy8d8MPXamzvHqBr6jF44ywXwWazQxhCuZxPNL0UIF/MY5pG4mhZLRcZ\nj6eMpzOCIGBjrYHruhwsrOAr5QKZTDqBr1zPpZDPJT4dZzW0XddjNBpTZwvPOs+gtYvVuCzYZs7R\nrvCsfsnia4zHU4aj8QMl7vtFLL7oeR6yJAZj4wGRlGnBaIsgs4Ln2rhegGmajMcTctFi5PbtW/d1\nI1yMeNCya/e4Pd08RuWN+1GO49Jqi939WWjCh3/mXz9Qz+O7Id7tefw1RTzZ6ozaZF2xawgj+EHy\nHWRfrOq1wRtM5Aq1SolDO0vVOrKYlSU5GaYCMTn+IIOCpiKmhw8O2yiyjCwr6LpGt9WmmM/haBpG\nEDDr9kgZgsVUVVyknUNmVx4jHPVBUTBSBhVdx+zcZKvZYahqLKV0rOo5ACqWwpde79GcyFxY0hl5\nAZoSIEk+2VIeZzxjMp7gei6tTjeZLI77Fk7U2M1kMwxGAtKLKa0HThP7lsv7n3yScrnEaDhMdhcg\nCsXJXYbw0yjguQ6tVjuBx0BAgnc3d1hF7A5vdwX0drFgcWdrl/OZVVaWlxiOxjjmBVqrV8jnLbzX\n3mCcq1HVNCRHrF6Xl2s0mx0ayzUUWSaMdpCLRQVgiSWG+QG3pTvU9mucW15JjlVVVcHIiiIzyTH2\nJ6yW6viRJMyfvXRE415fXT7WeI1FDJP/R8woSZZxprOkcBi6Rr1ejdSZp7iux/lzq8kwamO5hqap\niZe6+F5cdE2jPxgR+CGSJJ9qend7febz0xPkmqaSzaYZcwXP9fHTDVKtL6NLKlrlvfe4Yo+HpqkU\ni7n704EfIBbhIVVVj6n4plpfZl55P6hFiOayWi2hu6WrR/NcceFYFFx8pygZRZ41hD9MXEDiIqjr\nGrVqmWbr4aj3343xbvH464gg4KK+Ca1NqH4Ah7OF4BS7g2+UiVPgbGZz0OwgyxKO46KoarLiy6RN\nfv+Z5wBhD1ouFZKbPm9lMU2D3mBEsVhIzIgIQ8x0mjDw8SNOe286A39MPpumHt1Iquyh7nQZXTiP\nO50yHgcgK0mCfRxod7qsr68xnUwSW1QRMum0yXJjmf3RPnPfJaV6KL7oC8XaRtlMmnQxx9jt4vWI\nzKCOioGwrs0xnooEd85aI11XErOgeDeSj0yJThaO0XDI8nKD5uEBqqaRNk0q1SpbW1uil5TLYt2+\nw/7yEsqgBfOQcDrl7niYNGH7EdvMcV183yeTMZHmdqLfFU8v7O4d4nk+NU0V8t8NkWDiXcExcUe3\nTrkiEkmzJxJ6XsnxaPYRJFlKktJ7ahd4ofcymYzJzVt3sCzxOX/kunjtnb3j7nkndxyKqtDvD9FU\nBS06R77no2pHci62LYYm9/ebyLKwKW5Hq2BVFRPkkiwjR2w40zAYjEQSjRvmi/BpbBB1eNghDINE\npTaGl/YPmgRBSH79/UjS2YKL/f6Q8WR65ure83wcx0mkz+MBunh6PonIj30ymeF6bgIVmgvKxiAG\nEGV/jt595RgjDETvp75UodnsHIPAYqmTBy0ci/He3DWhyJs+R2lBaVjT1MRr5aTYavA9hAS9Wzy+\njei0e2SzadxoCjjV+jIA8/Kzpy7Os8I3ykjBlFAWW/islcY0Dbq9AX4QELrugrSFuND295vUlyqM\nJ/NIwVNmbtsUijkyrsdkPGaC6M3YjosynYqJ8cFImFW5Ln4mg6Zp9HtDCsUc+o038R6/TFZV2N1r\nIssSK8UsnX6fQrWCP9BZOb/G1p1tLj8q5Cdi4b2LlYBAl9nclDjoRE31hspgNjuSW4+gqHDmoDoG\nelpmGknQB4GPmRL2rfHuI7WaImj59PsO02mTVKoKzGE+R5JlsB3CIDjGfnFcD89zkGWFT37yj9jY\n2OCjH/0ojUadT37yU/y9H/27+KqYlbjdHXKxkWN371D0FcIQN5K1wBcQVMoUQ2UTBMRjz21m9hzf\n9zl37gK3b99kZ/eAxtojpFLqMeUBEOZeFy8+iuuIz/Rs8Wn295tC10wL+ar/inigCvo8nSgItCY9\nrl27hqIo/Oj70gR+JDyZvzfbKd41NEkh/UMAACAASURBVOoC3lpfXabd7SdKx/F8jKzIqKqCLCss\nLZUFhBWGSdKPV+qyLON5PjPbPpXU48Joz+1kJqlUygs72TBkMp2haSq6riczHWEgknuq+woD62lc\nz0dRFILAJ5tNJ/MWJ1lJkiSxf9B+Z+hKkpAV6UxK8Di6zrTBTRSni1N66sx7czqbM53NkR5UmfAB\nQlZkni0+zY3RLd6ebvHe4rVTfycMExgNEHNA3yPxbvH4NkJRlUQzyW9+nXntnQvGyTA6X2dQfB9G\nlLg31huUinmB+Y4XtHyiFUq8AtcUKcHcgSQxAeiaij23WVups717gCRLdENfrJxlmfPVYvJ46607\nqNcv0e1MhOz7Sp3JdIYX+ORzFp2DJhXTQZFVLlw4zxs33+LqlUsE0equVMyTz1l87mu3kmN9bs/j\nBxvg5gxGUg/Lr+D6PoEfMLdt9IhNFQQ+qqYxm88pFArMZjM0RWGGg7KmMN9yyFnLyLJINFYux4Gy\nyGabHf0zckldWipz5coVPv/5z5OOTLF+/ud/nvnrr8NT70kefrs7RHFc8jkjOW8Ao2nAfN5lEMo8\ntmqS+dAHcRyb17Zcrl8UO8gw8Hnssce48/ZbZFIqr92dEHNPsimFc0spxrLMdtsWVO0oHNejXitz\n0OxwXt0Qq9kg5BujNxJHvDZtGsE5xjMfUDEiS2Hf9xmNJgRBgKJqiR6amBfJJs11WZbY2tlPEu7O\n7oGgQPs+YRAgSRK1aBWdMU3MtJCoKRUL1Jcq2LaD43j3peYeHnZwPcHqCoOQw2ZbuPVJEr3+8FjB\niWU64qS8qDHW7fYxUymhkDyZMj9RPIQp2rfX84Cj3uLOYYecI3EGD+OYovFxkcYHT+b30sq6Yl1i\n7E2OwVhxnKgdyZzP90K8y7b6NiK+WBS7h6mKL91z7i9xcTJ8dAxVwfaOrFh7gxHT+TzBZxdZWqPJ\nhLtbe0JMzsoiKwqzmfDDzltZGss1SsW8kMLYPyRvZcXNMBMCeIoii/8bOhslsZUO5TSplIGVTbN3\n0ESSj+QlCguyDoauJlpO9VqZWrmEJCv8+XMZfvz7L6KOL2H5l7jauMRf3jyPr9iovRSyJCfsqJgZ\n5XouVi5H4At66Gg4ZDqd0RscyXWkain8ICCTzaBvnk0ikR2ZK7krnNfP47oe/f6QZ565zi//8r/i\n8atXePaZ64yGPfyO8Pg+OGyzFrHKzp9bRZaFKGAMAcaffTL30RSZebPJXi9krWowmXt85c0hji+x\neThHyqzgODamFnJlNYXjhqxVNF66PebKqk535DGbHLdJHY4mrK3UScXJSZaozqtJUnmyLPoC+axC\nPiuOpdXqMp5MsawMjuOSMQ22d/ZptXv4vpjLUGWF/mCYDBLakcNgtVzEc4VbYa1WZjXq6wDIiiQk\nYMKQVlucn15/iO04Cb32zHOuyMl1IcnCAVKSRTGolsU11e8P6Xb7NCOl4MFghFM4Kt723BYy+xFs\npmka0/nxc+U/wHR2HJ7nJZ958dgfNbdF4dg9YGmp/EBy74sMsHttBOKhysXodvuJMvLJyKoZni09\ndoqJJcnSMWjtewi1enfn8TAhBW4CTQHC9aAl6IlOSWxJY2vaB37NSDrBUI8Stm07pIzjF3lM911b\nXWY2mTP9+n8i//6fYTgak4mSYaGYS1gdrU4PVVEYTSb0BkMq5aJwsbOyDCMYw3/jJp31VdRun9nc\nRpYkDF1nNp1iOw7mwjF0DpocRH7a+tISb93ZShq+154O2NyUMU24eq2HZRa4eVNi1zuEPLRondJI\nvFq4Qmo0JgUM0iaGaeI5Dq7v43HE7zcMg9FwiA60hx1UV2W5VmHXaYKfpaip+L4YHvu1X/stfvZn\nf5YrV8Qw5e/93u/R6YhE4rou+XweVVX57/7pPwHECtowNDRNOyZ9AlBgn9u3D1neP0Q7t063P6ML\nFIDNt48edycac7g9gqvrDbbubnJ1pcbt22+TA0xT9Cli+mu1WuLu1g6GkcJ1XVzXT3YNzxaf5k9f\neAuAJ9d0prN5wrAK/ADb8RLsPaaEe5pKOm3SHQwo5fNk0ibtyAXSMHR6EW3cDwLsueipLa7mY1Vf\nAX0pSJL0jmZN1UrxWMLTNA0jskOOoSxFVigUcklDfTyZks8voXe/jlN6kmarS71eJZsxk5V+LGMS\nN/9PrmzPmlaP/TlUVU1mVmKpdW2yjZc9D9ybWv+txmL/KY7yA0zCP1t6jBe6L1PQcjyaFRBwu90l\nn8+RTqfeha3+a41Q1h6ol3GvuN0dcrG0wBjyAzTlqPFrGDpmSvQ80unUsYlax/WwrAz23KbT72MC\n3a/8R8YrP0B/MGJtpc7eQTNJDDH+vbZSR1bkY3pRhZTw4FDee40aR8KERjTtXa2WGE/mpFO6UPzt\niuKU9z38IGCmG2QyGV6/cYuLjz7FzTdk0ml46nrAKy8Vef8HQsplyIyWSGnqsbkCVVUxFZvXuQEG\nLI+XSKsCRxiMxsIEaqRgd1xkJMysiX3rswBYm1/koP4MgR/ySG6Nt4fbhLpIJvt7+3zsYx/jU5/6\nFM8//zwAxWKRn//5n+dTn/oUe3t7NBoNptNpQgRIp1PJ3IhlZej2eiiQQHJxz0Y3dFYKFmFI4jG/\nulJP+lBx8osZdqKXIrNUq2A7DgfNDiuNGrt7oqdQK1foD4eYRgrXneA4Dq7r0YkG7j74eIVWq81k\nMmEjKtCyIvpVi7ds7EwY/5sgZP+wha5pWGmZdMZCUXzwTfYPW8zmdkI4AOEP3liu0Wp1WVupJ43o\n2Js8hq7OStqSdNSjiCFVVVUTxllsAxDHSmMpWXilWl/mQiaN3L9Lsq8dwQUNaN1hBQi6aZZVDfoH\nhLIGskpJBiZdAhRkfAiPFhnD8Ywl6+izMdlmZ5y+74zJyeb4WRFTir/V6fZjEYrXip0Jb4xuccW6\nlPQ1H3aW62873i0e36GI3djuFYP5nAuF48qe6gmmRX2pgj23yWbSWFYGz/O4u7WXTOEuOrCln/wH\ntHs9As+nGHHv02YqYe/sH7RYW6kzHB5NtWuaytjx2B1u074QRNZRIgrFXOJUGNODOx2R9GW5Sr1W\nIvBDBuMx54sWdwAmE3RlQqNxwNxMc/Ouh5T1CAcWmYaHH2aZABhguS5z2xbwgpzmqn6FXq/HfvaA\njJMl2xHJaTafI8vCtdAqF/CUKf6HfpT2N7rkchbLZgozk+L1G6LHcsAcuyCK2sH+LhcvXqRQyKPI\nEp6k0BoMKBaLvPLKK/zC//DfA3Cz02fDStPvD4+J0cVWCp7voWsqnu/TP7dO4c3beI9fxnE9NtYb\nbO/s0+32KeRzdJ7/ON4jP4o8mlAtFxMpjNF4ymFke6trKu12D5AT73BC6PSPprP39psRldljt2Nz\nfnmJarl4zHvcSBmJzMhZ4cYmXSmD3cMhy8tl8AJG0ymlconhYEgQhEeOhpENbbyb2d9vks/nGAzH\nx+DKYzh8BNKHIUwn0wQGij0/JPlsJNxofYW33POsNISP/HLkcnkvjSy4/z3lwzG2kpmFk8ayujM8\n9bzFeBg/j+/kPFzsTHh7vMmLvVeTRvp3or/zNxnv9jy+Q2HbzimphjgCP6A1dZIkMBoJ6e7ZZA7O\nlMFgxGg0YWf3gFanRyplMBpN6HYFzGRZGYIgIG9lmU3mydyHpqqYZgpV17m7tcdoPE1W+SEhnW4f\n0zQoFHOR4Y/HeDym7be5bj3B9vbesdVOLIW+tpyjWDJZW6lTr5VZW11GGt3BzKQSSEOfTjErFe5s\n7YCssJ5f5pHVCs8+/ghGpUracdDGYyoS1A0d1xOS8JWSSFT9fh9d01keL7GRXaNcLqEogiIalENe\neOGr3Prmm1hKma2v7PDpT3+a4XBEJpvl1u1NGstLPP74ezBNE8f10FSNXn/I5avvod8fkC+U+H/+\n3b/DcyZcN1L805/7Oe7c3eEggqcmkymO4x5LCnGPSdc0TDOFpmkJFNHrDxkMRxH8FFIqFei98Anx\nPWhHkKOVTWNZWTbWGyzVKqyu1IUnhSShayqFXA5FUcgX8mQzaXRNo1ouUq+VUWSJ88VLXFirMZhm\ncFyPG2/eJvCDhAl1P08KSRKN9W5vIAy27h4QSikkWWE2nWKm07iei5EyRK9pYWgv8AOWl2tJwVt8\nHwmJnd0D8bN3yJ3NHaFpFs3tBH5AJpNOJP+F6KKM1L9NqvVlUTicDdQIol0sMIZxemo8VmiIC0d8\njS5CZSCK/P1ifqKHcjIeriB8Z5sRd3u7mL5Jxs5w4+B28uOdIX//3RrvFo/vQNzd2hOOdWeYPkEE\nOfhHF4VlZdA0VTjP6elE72g1gg4yaRPLylCrlSlE0MF4MkVRFY5dWpJEPpul0+liZcXN67geu7uH\n+L7A142UQavdY3WljqapbOnbXM8/ge/5iZ+4osgcHLRot7tMZoLBJIW6cJeLmoczT8Ge28kUtgOg\nqswmMxRCrIzEc5/P8I2vH63mUobBbD7Hcxx8P8AwDPqGsNb1/YDpbIbnB8m0ue8LpV3LzvKP/9FP\ncfnyY/zWb/02k8mEX/zFf8Zf/MVf8Bu/8X8ym80olSu88sqrfPzjH6fdbvOJP/gDPM/jYG+H9fVV\nfvM3f5Of/MmfZNIdoXgeISG6pjJ0xPq0UMiRyYjkFxfck5IhMUOof26d6s4ejXqNeq1MqZhnMBgx\nXvkBsk9/lNF4ynQ2ZziakEmb2I4nnAQjmCOVMrBtB8PQaXa62LZDGAi5edNMMRxNEsbXzZvw4o0d\ndu4qiVXtdgSHPUjU69VkHkWWZRzHYTIWPiij4TBpaMuKzHyheMiKTKvVJZ/LHoO24lhdqbO6UieT\nTnP+3CorjaVkwjxe/eu6hqIoXNQ3yXoHTI015tUPYFfff/z4wzCRDdnda+K63rHCkM9b3N0SC5ud\nCHqNdbEGg1GifXUvuZI4Fm1mY8XqbzUeRFr9QeNrm1/nsN9kt7vHaDY69vO9xLZ6YHkSSZIU4EVg\nNwzD/0aSpH8N/ALQih7yv4Rh+JkHeW70uxLwHxFWiZvAT4dheFo57bsovlV5ktvdIWu5DAd7h6e2\nptrgDdy8UNe9u7WHrqlUKiU0TY38xqcEQSAosXlLzBbUa9hzBzOTSuRHzFSKyWyGrml4nsdSrcLd\n7b2EfeP7Yudyk7eSmYMgDNE1DU1VyWTTHDbb4iaXpkg+vL0lTJQUWaaeC+lMNQpFwZCSJIm3+iOy\nrkMqvZF8ntlEZnsblpbeFGKFqRQzy0FJSfjzECUlceeVKStFjWpVo9320HXhUAhCrqTRWGZvb5/1\njQ0mk6FQzDWFp/o0SvRD2yZnGOTNFIqiMprP0RQD17cZTif8/+y9aZAk93nm98u7su67q+85AQ4A\nAiBIgdBSlGQTpESJIkHbYUasZW9YsVJoI1axdkhar77J1oYsOuwwv3klUaGlTSmW0kqmuCvZpKyL\nWkogBQICiIuYAWZ6+qqu+8iqvDP9ISuzq7qre2ZIagko8HyZqe6uqqyszP/7f4/neXRVo6DJvNYd\ncPGNm3xNh8cuv4Pdqc1mPkOv3WV1tc7NW3ukdT3iPTTbFHI5mu0OiiLTWKkee6bPekQQ7ax9P2B7\ncxVv9xXSu8+CNUbJl7G3380tJ8PGxirjcUSoPDrqRoq5K1U8z1tgf2cyaVw3CmiFYplMJirf+b7L\njRtv4DjOjDPxrZU0PM/DtT30TNRDsyw7EWaM5dnnscwrfP5ncSkpLs8Jgpj0RkTfQu6/iFN9z0Lz\n/CTanX6iljt/DLu7hwtqtIPBiOFcE9z3/XsSCD066n7bPY8Yd1LGvRcMnAmv7Ufy/49dfgzTNjka\nHDGcDPnvfv53ePGm9Zbomt9Lz+OfAa8A81fb/x6G4f/6LT73XwB/EobhrwiC8C9mj/+HezieNyUW\nZ8SPockSQS7Hzf6YtYzOxPUonbgYTy4Q5XIxSd0H/ah+e3IH2ulGpbIgDKiWizRbXVRFZjI1EUVx\n1qhtUamU2fFuURWq9GbTOAD5WZPRdjw21htJv0NPpZAlEdt2kCWJ7tBBz9cTjaD98YQr5Tzj8YTd\nvb8lk8nQmsiMzIBLNQ8QI/VbVcU5iPouhVwW2VZ58GIGYzwmcDNkdAdZVTFnGY9l23zjxZeolMuR\nCGMMY1FE8lIhSxAG3Lx5i0a9Qr8/jPgCUxPbtgi0FB3TQlIUjLTO41MTXnwVtrfYHU1IBQHNo0jv\nKp5ksx2XwWhEqZinPxgxGhmUiwVc36e7uU7tmefxHnoHlWKRtOyT+4tfRZgOEINZtd3sILXf4Kqa\nY094imyllhxv3M+K+ybj8YRCsYQkyfT7PSbGBM8xGTomX3ttQEHxKGQENlYb6JkUO7cPEEVh6ZTP\nWQu1ObHQMylGI4Pi9HkUtcjYX6HXG5Bxm5SFCWYrTU6cJGq4KSBw0jild4IgkGo/jSuv09tvoogB\noqDQ2+9S1iTSWorRZIrozQJ/qDHWHyADC8cT920i+X4N27YJg5AwDBeCVxCGC5pZxWL+VHC7F9yp\nrHXevrnV6qKnUsmggK4fD0Sc+57nBE2IMqfXejeQBAk/9MlqWbJalr3uHg9sPfAdJSn+XeOuylaC\nIGwAPwp8+l7f4Jznfgz4zOz/nwGeutfX/o+N+TR4GfYPjk4FjpZhIgkCN3oj1jI6F0s5NFWmnEnd\nk0Wl7bhJ3fvmrT2GRrQgrzZqIEAmraOlNLLpqAcQz/LHxEOASWAiDSRc1wdmftcjA8OYMBxGMiDr\nqys4rofjuiAIBEFkXgTQH47ZP2hx0GwRjkbc7I+ZzBi8mqZiTB3E0KNWWxz1VBWZSqWMPCsz9Hs9\nCrkcrW4Pc1aXbrc7TKcmbjaLurLCeIl3wmZaoxT4VEVodXoctbqk9RTaYSSDYRgTwiAgCKKbWFFk\nShmdcSFPczW66a/USuD7WHqaxkqVdrtHpzvAmETKstmZyVIiQy4KiYFVmNKQDo/Q0xqpv/xNxEn3\nOHDMIAUemj3kwvV/lwjgraxUaLd7aCmNwXDEYDDit37739A+OuLTn/40n/vc77Cxucm//6Mv4voh\nH3zvFWSmvPzyy3zt689iTCxu3brFl770xyhqmn/1q7+BImuMDl9Dsjpo3gDJ6iBZHcRxC9m4jWzc\npjh9Hq39VRzHxa69F7dwP7qWQhRFmnae1+SraPVrtDLvpJV7DKv2BOPie3BK70TtfyPRfzqaKkjZ\nOj03gxmmKa9fJrdyASlTxgk1AjmDL0YDCMua3/F17vsBlWpp5l++aHUbkyRHY+M7QnYwjOkds5TY\nBnkZFEU5NWF2N6XD8wIHRCW5xy++Cz/0uW/9PprDJs1hk9XyKrZnz7kuvvlxt5nHp4B/Dpzs1v2M\nIAj/DVFJ6mfPKDud9dyVMAxjpk0TuDfDiu8Czp3BDoLkYo1HQcuaSj0bLUJ7Q+NYc+pbQEhIrVJi\n/+CIQj6L43oJd0AUxYVRUeO2SblQYDyZUK9HMhS1ahEckpl+EKNa8sxZL6Vpc/P2QuJ/EJPnVks6\nEjqZtE42k0YQo4AYBgH5fC5atGdGQJ7jUKmUk2xiPugOBgOq5TK2E3FZur0esiyjrqycmpYB2Mym\n6Vo2q9k0+4dHCfckXvinkyk7UaeYuCEU9xpqlRL94Ti56f3DJju3D7g0+9w3eiNquTS6D4ZhIMyC\n5Uqtwu29Q/SZt/b21lrkevjQO/CfeR4546C6E4QzhPuEMEAyR2THe7huDUWRqZSLDIdj8rnszOq0\njznzhHnyySf5zGc+w0/8xE/gODaf+tSn6Pf7fOxjH+Ov//qveeGFF1hbW0v+7gMf+ACIEvnV+zjV\nXk1F24LoO95kbbWOPyfC12x3KJ3YzRd1jRu9EfmUmpw70Z8m5DpBECgUcpiWvdDXm04tVlYqSWnN\n87xkg7Nsod3eWkvMqmLNM4ga1/F49EmOyTL9p7tBNnu2au/dYBnDfn7y7V4Q+AGD4Whhcuzxi+9i\n/+CI1ZXawucT30KZxx1XM0EQPgK0wjD8uiAIPzj3q/8D+CWiMYRfAv434Cfu8rkLCMMwFARh6XZD\nEISfAn5q9vDXwjD8tTsd83cDnhcgq+IpLkcM9x4abnv7TWqV0kIWoyryjIjlR/pIQcD21lpC/AKS\nZqiqyHQHA7IzeQ5VkXm1c5OLpaiMEmUnLtNZg7pWK9M86iQEss2N1cSutVIs0ur2GNsS4DAyJpHE\nuySBrhMEIcViEV3X2d3LUq3CymrIq6++upCBmKaJ57pIoshgNKI/GFKoVnjg2lWGlgXTxWGDqhCN\nD/d6A9JC1PiVZTmShFHUZAKnMCttDIdjwjBkODIigT9BoN3tk565xu3cjhR1G/UKrutiOw55JaQ9\nq4atlMp0Dg4orOWS19b1FI7rMhiM0GIhxo011G98AdE/23EQIuXkleENDsdXmUxNNjdWKRRySYD+\nmZ/5p1SrNba2tlBVjfuuXsFxomDy4Pd+hH/wyAUyKZn77z/2rs9kMly8eAFV1Wi3mmeaSsGJEujc\npXfxwgbj8YTtrbVkkwNwpZznZn/MxVK0x7NqT+AdvcDG+sNAxPWwbYfVRo3xaIKsyEl5yTCmlMsq\n5VLheMDijB7BedlAu92jedSJJHdmG7VvJXDcaWwejlWJl8naL0MYRCz8u+2RxIjLcMuO514N3t5s\nuJut8PuAjwqC8CNEJdG8IAifDcPwx+M/EATh14F/f4/PPRIEYTUMw0NBEFaBpeMQs2DxpggYwqz8\ndKWcZ3fvcGFOfGO9wc3eiAuF05MqtudTyywR1FmCMIhE+jq9wcLFFQYh7XZvLmC0GfRHSLKUGPhA\n1FfIZjM4sx2iMbEol4vc6N8k6JfZ85poqoosy0wHw8i73IjsVCVRTJjWvh9QKKTwQotKpUzZjhp8\nq/loV2r4KW7Za6yt1nE8n/EkzfvfH/KlLwnoelTqiZ3/FFnBMCZJJlKtlHng2lVutPs0B10yUoqM\nbTHRosUoZU4prK6wc/uAtJ5ibE4j8mKlxHBkYNsuuWwa3w8YGxOkmaOfYUwQRXG2iw2RJJGpaSEO\nRmhaijClYb2xg9+oIwgCqqqwmU5zOBxzZBhsNmocHrYSe91cLoPruknd3fM8eqJIwV3sv5yJSdRb\nKpVKSfNckqVo3BrY371NNpum025FKr31CvsHR6R1lb96/hbvWFVod7pcvriFltKwzDGBH9DrdphM\nzUS6/SQODo9orNSia8n3cVw3uT7m+yal1OK00oVCloPRhLVZuSYjmrx6a49yqcBgOKZcjKbMpmbU\nT4tfZzgyTi2Ovf6AdT26fu82e6jVyuzuHhIE4SmSoet6HBy27jg4EPjBqWOJXQ/DMEjGc9UHf4zh\neEy5FHneSLJ0Zsnp8LBFpVK658AB0bjwMt+Tvw+4Y/AIw/AXgF8AmGUPPxeG4Y/HC//szz4OvHi3\nz539+gvAPwJ+ZfbvH3xbn+Q/Eq6U89zsjWhUyiiqskD0q6RTp4h/ABPbTXy34Xy2apwWn9yVuL6P\nO1sERAEa9RpaKjL36dkO29tFxmOHXi/qddQrZfRMakFbaWWlkijpxoh9HVRFJptOo2dSkWZSEJDL\nzS76MEU3uIyua8iKw42uB57FQ/IbDJ0CiBK1ksfNQ4da7TVyuU3GIxHXcxmNopn9B65dpdXq4vs+\npmXTanXRHIdSrkyz1UWWJBTDwNV1NFVl76CJpkUSHRBQyEd6XbECq6qlCAOfVEpjMpmyUq9CGCZZ\nlOd5ibeHbbtROaRWIfvsC1AsUxYDUnqOg/1dLtUr7I4myKpOkA0QJZVisRjV8LNZBoMRv/f7n+fJ\nJ59ke2uNsFyB1nJOz8J3pqRnZMuo9zGdWuSzGbzAJ5fLYNoWzVnfpl6vMByOWV9b4dVnm1wsByhK\ntOGYz0BFSURPaacayfNe4MVinus3buG6Lg9cu7rQ6G02o+HIZRmyIApMveOA5GUvcrFWxzCmyaKd\n4zjbmUymhGGYkFjntajmr18/OB084lJXjH5/RKmUp1IpLQ00iiLfMXAs80MfjQxkWV66gE9M8/yF\nPQyjbGu1PuvJnO7D3QnlcvGuMqG3Ir6d7sz/IgjCNwRBeAH4T4D/HkAQhDVBEJaO7J7ArwAfFATh\nOvDk7PGbGmEY8sb+ERlRwA/8hUAR14znYVs2tmVTzqTIqnJSJggEAS2VRVFTCEvKH2trDWzHQ0sd\nZzGSKFIqlbi4vcH21gb5YrQLEhAo5LJ4XgrfPT4eY2YhW6xUeWO0S8bJYpwQ6TNnTWKIbnzbcRK7\n2pO+1YKmRYY6PR/n6IgLtTK+Gk13tdsdXM/mlZuHrK816HYjIT9d07h65SLlUhFjYjGZmgiCwPbW\nGrlMhlKplJTKJElEKuQpCdF53lhrUMhmSespioUCvf4wYiOndez0hKZ0xJHS4bbZpNGoRQJ9M6a0\n7/nkshn6/T7FYp56rczefpPBaExztcFnP/tZfu/3v8Av//Iv0+0NcH144Stf4bOf/SzdW7f43d/9\nt7TbHf7kT/+c27f3yOWLrK2tJQrGg/rDBILEefBFmeHKQ3iehySJ5LIRQQ9AECXa7V7kET477sgP\n/njhvnRhDU1RUZYMDizDyUXz6pULQCTgNz+Ov1Kvngoc/f4iE9txHG7e2uN2P0T0rTMznEwmjef5\nicmXIAin/Lk9z6M/82SZx0mOhjd7D1kW6Xb67B8cnXpO/HnOwjLPjXw+i3RGn+IsXhbMfNQFIQnc\nup46Uz7kLHJwjFTq72fmcU/BIwzDP495GmEY/tdhGL4zDMOHwzD8aJyFhGF4EIbhj5z33NnjbhiG\nHwjD8GoYhk+GYbhcjvJNBEEQSBdypFIa2bmpkrP6HLC4a7xYLHCjN2J3NOHl21Ne3XN4xXuUL7/i\n8bXXA5ojheZI4auvw1dfBy8IEaQsr7dEbo6KvNxUcdF4cS/kC1/t8XpLZG1tldd6WTKZPK/1skyk\nde677z5Mqc7L+wJT22e7sM5qd2WHZwAAIABJREFUpsZgMKA/HHGjN8J2PLqDQWIVq0gSeiaN7TgU\nCjkMY8L+/pj9/ShzyKqRbpHVG7C1tYkiOriFd0S9D6A3C0y6rCd9hkq1FPElGjUc26KQz5LN5RgO\nx3QHAyZGVHs3JxZhGKK7buSGJwhMTJtWtxcRH52InV6vVRgMDUznuFFdDRd3dO12j2w2Il7GQwCC\nKCTseUmWqNfrPPXUU/zAD/wA+VyOz372s3z84x+nXq/z3HPPUa1W+dM//VOq1SovvPACv/7rv87H\nP/5xtFkDXdl+kDBTJjyjuRkKIo6aQ916kFqtTDaTplwuIssyg9GIwWBApVxEFIVkuqbV7VEuFhYW\nou5gQGOlhm3ZC4vp7tTmRm+Ed4LUGKu69nqD2eRThiAICeZYy68Pxlwp5xc2EvMs73o6RShKbKw3\nWF9bQTKb57Lai8X8cZNdON0oD0PuWO5pNtvJAu95QcLqdxyHMAgXJHY2N1aT7Gkeu3uHZ5adlo3O\nw9lyIL3e4NSk1eE5JTNBOH8ZbXd67NzeT8pnf1/wtrbVPcAPAjw/oOtY5FMqvalNz7LPDBwnIc7G\nYy8WC6TTaf74uQEXVlI8ejlLQZe5cTjlcj1gYqnsdx1kUcDxQZFFKrnoqxqPRDojl0cuZnC8EFlR\nef+DKjstm0pORpFF2iOPW0cW770Mspjh9f4+l/KbTIdNRFEkoyp0LRtLT2MBtuchSxL9iYmvR0FR\nFCVW5whWL79ynctXLzEZTQgDH2napR9WWF9fYf/giOe+OeDSWg6CAZ4XLOwsXddjalqk9RQTY0I6\nnUIQBBzXYdAfJSZQq6t1xuMJkiRiTqeJjlQQhGiaiusPOOofcV9xg72wT80uU1jJ0Wy2owmeIECb\nva/rRgq0sf1qpVykUo1MnR5/z7vh2ed4JKUh1LL8t//ox7GsIz784X/Azs4AVZFZf+ghrpTzyU66\nebhPJpOONJ8Egc5jn6DyV59BCu2F7DGUVFwtxxuXfhi33SOtp6jVyvR6Axq1CoZpo0gCrU5vweCp\nUa/Q7Q243pzQKEa7XAnIZdIgConybowr5TxDy6I9dJLHJ0sjCfluyW499gMBFko3+ZS6sBmSzCZu\nZvtsbfI5dHoD1hsVJHcMgYuvRxa3u7uHZDJ6UgI6idiMKkbvRL8vdiyMyz+NRu0U52IZ/+U8NJvt\n5H17vQGlYgFBFPA879R5NIwJgigmgT2Xyy6UnWOFAtO0sW37VElx3lslnf7Oqvt+N/F28LhHWH5A\nVpXZGYypZ3SupO8cOOIRv3jXByG2ZfD912RS7f9AmH8S2zK4PLuvLtcDLtdlXjo4YDuXppwFYzRG\nSykUswHff02m3T5C9X0OD5TohsrD3riJ5Ito6QLXqhN6XY9qFTp+h0tsJi56FVUhOzc2vHP7gI25\nXZXt+aeYuYKa4mA8RbdMLF9B5oBiPoNviGxVZF47NJn0+ux1QizJYmtrM2m+9/pDyqUCk6mJqsj0\n+pFIIJCYQ8V6R0EQIAoiju8y6I/wPJ+LFzaiabCmRSlbotsxUXyFwla0I55ffGzPX5C3z2bS3O4P\nKZZy9NqjRILczqaRX3wV8AgwwBNo90z0lEa9XiEMwmgRXW+cUs3duX3A9sYq4x/6Z4h/9f+hqz1E\ny8AIZfq1Bxim1ygUchTzOXqDYaIUUC4XmRgTUikVSZLIpHWOWh0c20GSJSRZYuLIXKwJiGKKdqcb\nbeeJypY32n0U06Q6W0wLqVTiQHhe9nvWwhrb6WqaSkbXk9325WKO7tSiEgeVE4FDDFzU7tcJEbBr\n7+XmrT2u1EQupoc44gr+zHI1VtFdX3ucbm+wNHAsQ8RDOo35Rb2QOzsbuhvMB+P5112WvWSzGbLZ\nzIK6sG3ZjMYTUpoWbVJGE1RVPpfUuNaIPv93RKH3TYC3/if4LmAlneYOmWqCvaFBTpNpT8+ur45G\ng4QDEvMK4v5I33apZ3Wy1UhhdWhZtKcOeV3HHI5ozF34n/ja9zP1l9Xi37nwKC37fOWp15LHJ71D\ndkcRe/xGb0ReVahndZS0hiIKqIpCPpeBMYSSyRsHF7h2LWS7HDm0vfYafP/3jbBMG49IxyuT1hGl\nyHSpXFEpFEu0W1Nsx6WQyzE1TVzfxw8mOI5LEITUaxXanX4iVpjNZhGFCW+0TB7czp85pjofOAD2\nDyNJmMPDFtlsBj2dpt3uYTsOa+96J+Gz38B79EEs28N2nCQ4bK43knMAsCIq+H7Azu0DioUc7W6f\nUimPoNU52HiURqMWZTmjMWlVZTI1MU2L1ZUaO3uHpPUUgR/g2jaaplCrRm6OqqIQhCGlXDbxULds\nm8lkkvil3OiN0IkIjv/zr/wGlmXxy7/8L/H9AFXVcBybh9bXk1Hf0WhEpVJhOjWTerskSfi+z//z\n2/+Kn/mnP03gB2eOigqigNHpIdUqyPo7SR29gLwSjeym2k/j5u9PrAlS7ae5Pyvj6I/iZxbLOsnf\nDF6hVru2VPrkJNLpVDIUsQzxd5PLZ75lyRDP874lT/L5UpaW0giGRvKzXD4TSfGL4qlMKoY4Eye1\nbXsheMTDAm81vB087gGSKNx1iSrGRiG7ME/fMky8IEjGIYEF8mAum6ZlRCOtV8p5DkbHJkWCKCzs\nNm+63gJxaXngOI2pJzEeT5hMTcIgSKRKxuMJwUwh9kZvRC2t0jPdpLbu9gfIKS1yMdRhpymh6+C4\n0OnA5iZMp8zYwwKddj9pvMd+Ijs7rYTYuL21RrPZRhRFVmoVREwq5SK7+02OWh38IEjm8dWHfox6\nvUK9HmkWncdxWDj/s9LG6mqdw8MWshxJkB8etphaDv7VS2T/9iWy73mEbCb6W0kS2Z3Zu9bSKoVU\nKtIna9RpNluMjUh+vd8f4aw1aOwdQKNGLpeJRp9HBvVKmaFhMJ5MKeSziYZVKAqR5Hkxn5TpXNcl\nCAO6RvQ9nAwcWcdOFqR/8tM/xe/9/uf5zGf+L0qlEv1+xMv9xCc+wec+9zlKpRI7OztMp1MajcbM\nJVHh0Ucf5bHHHuPhhx8+U0JnHvG4sqWnUewq6+2XyTLiReEdXNGKybEhPYAkCPiD4/HlvCpTnyPp\nOcVrqJ1nyFbfc1ff2bxM/jxS7ae5Um4g9b6GVX0v2tzfLdvNz+tmzdsZBN+myGFcPrNmJM8Yd+Jt\nBH7AYDBCkkRu7uwhSxKbG6tvycABbwePe8M9XnOBHz1hRZEWFrv5YDIP27KTFLoWRAEio54dEC6W\ncueWK87DZGqSzWZRJIFmqztLww0KhcLC69leSM+MbpKN9QaD4ZiUIOKjcuXKVW7dgv4g5P3vh1u3\nBD7w/j6e49EbDqlWSrQ6PTJpPeGRxD4ZcSnFDwIkWWY4HDMxTdbX0miamkz4+O//IHk/y7g1wTQt\nVFXB9aKR5a2N1TMZvydr4oEfJFkARJM5sijRG1iElRL+M88TPPIgB4ctyqUCuUyaw6M2/mRKYfY6\nu8aUK7MFKF6MbMuGgybmxMKYRr0V07SiZj+gFnI4RGOtekojCCL+yf7BEetrKzi2gzGTeLnd8aiq\ni4Ej1g+DSFBQ13U+8Yn/EtM0WVtb5+bNN6jVqqRSKT74wSdZW1vHMEa02x1qtWryL8CNG9f5oR/6\nISxzfFfXSGx4tWOadAor9NMrXPGKs4xUppRSj0tbc7jZH59azGPtrHtFXCJz01tYtSdod/rYToqt\n9rOkBDfJbiRRPCV0OF9C2t5aS8qHtWo5CVCtVpd0OrUg/Fgs5Dlotk41/+Pehuf5uK7H2mo9aq7P\n9OGM2fTcWQMG4sxyIJvNLB3dPanq/GbH28Hj7xjj8YSOFzAcGmwsIRAG0vEOrdcfJnXheFG0vaj2\nXtZUypnTN+qFQpa9M177PKRUFc9xCGclgsnUJAgChsPhQjM1llcZjcfYjkd+tqMMvSq2ZZDWxzxz\nfcK7vTSG0cPsSORWMoiCgO/51KtlxsYksVKNs5yYb6KnNEzLZur5idS5aVpRNrJdwQldFJSFMkM+\nl024ALHA3lGrs1BT9+dvxCCk0+2jqgqFfDYKLKsrNNtdUppKJ52m1u1zdNhC01Qsy2YwHLHaqNE8\n6jAeT8irCiPHjTKQtIYkicnOdm91hdVXvkntsai04wdB1BOZTFEUhV5/iChKDEdGonAc74Ir5SKy\nIkcLzq0mihQddxw45hVo7amZ/D+bSeE602SBc51pZA/rTNFUOfn5/AK4sd6IAkcQRoZURBOEYRie\nSeITJZGL6yu05S41L1qY13Xt3HJRRpGOFZq/RUhmC8V4Azd7acG9U5pNzgU0sIiykUBK45QfZjI1\nz1XSnRcatS0by3ZOTYLFv1927HE/ZP4580EgKrn6506nZXT9zHP3rbDpv5t4O3jcA4IgSGa9Y/vS\neSEzURQiK08ERFEgCKOFzdfTXCxEirrAws4+9L2oVpqWSZciiQg/DGlk02RVmXpWp07kEdGbWKcC\niCyJ1PTUmdnMmZ9lpssUuJFUO4An+ujS8pJBVpfI6NpxiWycZtof8UWOqJLjoHnEA9eu0u30kSQp\n4jcoAaORwXBsIMnR62qaioBAsZTHdjwmU5N6tYyqqhw0I6a1okSL343u8qxq/iYTxOh8r67WFyZo\nxPmMRBQo5LMJi1iSJIIwxPd8XDEKZsbVS6xef4Pe9mbU+1hrcHvvEAgwZsGvFqR4fTCmZ48Sm19B\nEPD9gDClMXz1OoUH7kNTVYIwJJtJ0+n2WV2tJ9eNqihoWTXZZYqSSKlYAFGmUc6geNZCxlGZEfAA\nuMPich6Te3//KBG4RBQWNJTCWYZ8Xu09O87SHHVorFRptSNuzjJJd4CynqI9Npa8yt1B9C0IPF6U\nHgATmAxY1VV6/eGp5n+SeZgtrmX2aAcNYHnwmJeRH40NNr/Dvub1WvmO2lcnR4Dfyng7eNwDRElc\nmPU+zxI0xu7eIdJsWiUuM80v9NcAIZulmtGRJTHpZ8BxeetKOY+myuwa06XZR6/b414vyWVpc7GU\nP0UkjJGRUhwZU0qqjGS36Jkpev0j6lOdRtHl0voWYRCiOgqW4lDM51F1kMQUY8NgMOOUAAkPpN3u\nIAgCrh+iiQLraysL5aaqEJ2DjG2xUq/yRm9IyrFP6X7FqNZLvDh+nqvKOxBPTDRYtkMhlcOcWEkJ\nMZtNI4oiuVwGY2JxWK+xurPL+MpFJqaNLEuYnsv2aj35LqIMhMSDQ50FRfmhd5B95nlu3tojn83Q\n6vQIgwA/CBLJ9/RMK6uQz3LQbFEsFslmUkiKCsi8+9oa3/hGl6oY1ett210od97Je+dgv7kwNTeP\nkPBUr8MwJhgTE0mMZFyy6dMSOnEpSNc1/JnE+Wqjyng0WRo4Ypa3IC9uQqblx0nPVHrvNPar9v6W\nfeF+8qnj3onpegi5HC1jysT1ySjSQl/F1+sYFMil1IVsJHn/qbVw784HyZ3bB5SLBVK6RqfTu+up\nsHnEgfteJqnm5ef3D46ovsVY6G8Hj28DdyOfXC2V2LcdWobJyHFP7aSltsNaPoPheGSX7BpjwTo/\nDM/tbVjh+UJ9JxF7nccYjydUaytoqSyuPSUII+vTQj5Hp9unVMhjhJBNaejFbURpgqpqBLemXLvc\nYGhZ7A7GWIMRlZIaERC7wXGGNrfuTc0pO7cjdrsgCIxHI/q9HnZK51IjKm/tzvgVjUoZP63yxtCI\n5NTnMLSsJNh6foAsyTyUiwybqpXFGzEO8rE3hqapNGqVpHyTzaRIaXWcSpncK98kfPRBUvUKYRid\nm4amMvA86lmdUS9yWKzMJGDEfrQYNlcbbB02OZz1d3zXY2PGVUnrqcj7eyZsKcsyg8GAbKbBV76i\nUK1Gk2o/8iP3YZpTLNPEsu0FaQvhDo3eswJHnOWMxhO8me9JEAQMZnavjXoFWZYplfK4rsdkMsWY\nRCWx6kxsc77h3Gr32DijORwvvMoJLTc/CLBqTyD6FoIzwtcXF+i4TGVV3sO0/Dj9ocGVueCgK/JC\nadbzgyRDm04tLMtiPJNRmS9zKcYtJLMJcz87ifmgMj9YkU6nzvRXP4k444sDx/z5OguTyRTXdSM1\nhpTGaDxJrse3At4OHn/H0DMprsyyhTp3J44Y73KXZSxXynlsz0cRBERJRJCyXLiYZWrfW9mqVisz\nGGdoH72UaCDZlsHv/9//jt3dXR599FF2d3fpdrt0Oh2efPJJPvShD/H5z3+eD33og3z9P3yFH/3w\nh9i5NQXDpJDVKaRSjC2RYTriwzQ0lW63Q+likbx/uidzdNQlCHxW6lXavQGbs+DQPOok0z5x/6U9\ndRJxwRjzWVrPtJP+DESjlLt7h2dyHGzbYWfvkEI+i6aoTE2TUqnA0DCoAcNBtLDGzeztrTUGtw/o\nzfEAxqMR6ZTK5sYq+wdHqDOmdqVYpNPvk5vxMYKZ9MvG6gqtIJgJOEoJoVHMvs7NfoBW8wj8DRxE\n8rkshUJugXH+rbpbu67LWqOOKIkcHraScxhnZ1pKSzISRYm4Cvrscbwoxgvh4WHUSJ5MpnS6A1Yb\ntaXTUX3LifTRNBU/DPH8AN/18IMAx0/TMKLprVjG36m+Jwkob9zFEIgsicnGSrctGo1aVP47+dmz\nF3CzFyJvktoTdyXSOJ95LNPLOg/Now627dyV82MQhBQKuYXqxbm2D28yvB083gSwPR9dVoAw8UqO\nex4x4pupN7FIpwSeGb0MwJb0OAC3Tys2nIuvvR6wUZ7y0EMP4bkO/hxL2jRNptMp6XSabjeSe//Q\nhz7Ea6+9xlNPPcV0OuHDP/wkB+3j50Q7/+imzJdBFVymuLh2nlY7oMUsIPo+KiEqLDQ2XVU9LtPN\nPB021htJwFAMAz+fPVNkTj5x0+3tN9ncWD3TajSelLJsB9t1MG2brOtGTm7vfAfFb7xK74kN0kSL\naJsu2iUNnwm0osVS11MMhiPGM5fDILAIHnkQ9fmX2JxZ1sbe2b4f0J417UHBcVwcJ5oaK2RUhmbA\nim4mx3en2vl8v+FOPhOqqia/n18IBTEiwC1bUONgMp1a6CkNx3HQUlrizZLJpBd25a7r0en0EASB\nRqN2FxOAD8zUDXx2RxPqloMoCjQN847PnT9ePwxJzY5VEIUzd/zd9MNUZgHkXrC6Wl8gB94JjZVq\nokpwlhJwLLuSzd7dZvLNireDx70gjCQIur0+lXIJVZETa1FVkTlottlcaxAQEp7hOhj4IaZtsSJF\nF5hVe4Ldud7G64Mxl4u5hcUgLs9cH96gH4zBgcdL7wJAkDQ8d8J2PQ/P3f1Hef+D0Q36ly+NuK9s\nJEq7H/rRD/Nf/GcfS3a8mqqS1gO84Q4XNor4nZdRlQy+VuGl253oxbI68uw4cQIKfp48WdqdPpfL\nuVnjOSIjxgHjRm+EsX+Eks2Q06KSxN7QwA1CehOL3tREcif4qTyd/SOqpQJHrs+VmUppzBAWRXH2\n8+ULTr0eeZMjCDRWqgvidlrMWcln8f0g8UUxLJUsMH3DRmso2E2X9KXFHsve0MCfaS6l9VTEXN/e\n5sUXX2Kn0+ajapQV5fJ5vvjFL/GRj/wIsqySyWSYTCYcHh4ktr+1Qpnu6IAHrl3F8wP0E9PZYRDi\nOFGgjvsnk6mZZAfNVpd65TTpTZQE+sPxKYOl4XBMSlNxHDeSjpmayLK0tESjpzSaR+2IH3MON0RR\n5G+pV6DJElfKeQbjCdm0zrqu3vE588MQ67pG03KItxPaGRyRTCaNlXkiyUBOTmWdZzE7Mc0zg8fR\nURdFkZIA7vtB8jqKLLG9tUa/P0IUBYzJlFKxkPQ5NE6Xj99KeDt43AuEyMv45EUmK0qiTivfhVug\nnkkh9G7jlB9maFlIgsBmPsON3uhU4AB41dxFMA2qUpVyWF9YKC17iCII0dis7DP17kwUTMs+tmUg\nCiKPXxYZzPk/ZlWZIAyoiQdIzoCh/i6OOiaFYEpfCMlm62S143LRBx6LzoVt2VjDCak52Wrbtjlq\ndynkokmn4WiceLHrnkW6kEEOBXKz8lNRTyXZVjmTIgyKvD4YUygW6LQ7pBQZyCc6RDGOTkya+cHi\nLjqby5HNpBbm6MfjCZm0zvbGalK+Gs6CQaGQw6uUkoBxMnDU0irtqcPm2gp4HgfNNhcvbPCHf/hH\nPPWxj/LlL38ZSVL4rd/6LdbX1zEMg1/7tU/z8z//85EkvTnl6KjF1tYWo9GYXq+P3e8DG9waGqTM\n6cI11jxqs7paT3aw7U5/gZA2z3eZz0JO7sJ7vQGKomBMpqRmJTZlNiYcLumndDt9SqVCMi1mW3ak\n7XUH3Ikx7TgOw6GB7TgocsTbiT+vrh9fW67rnR75DcOk4e66Hp1uj0yxgOcHHB4uV+Kdh1WLAsjK\nSpSBBH401CCd07+Mg+/8NF+Ms8aCgeQ443NhWc4pCfjKW6xJPo+3g8c9wJ/pHRU0JRmnBZLAsblx\n96N/oRTdvO2pkwSDZbvngdtDwGBL2KKRr5wayZ2X45iXHBn0Rxw0j1ipVZEkKZqkcryFUphpOxij\nMcbUpFjKM2jtUtMm4EwxCg+jFWSc8YROt8fK/es0xDQ3b+3RbkOkTXXMtRiNJziOvRA80nqKXC6L\nKHmMZwJ+QRgwFCQQFILBmCAI6c0ku91sNjoHwhTBB8T0sTiheDylNR9abc8nryrJeUlJIjlt8bKO\n+ybxtNzO7QMGwxG5XIbhcEy5VEAWJSSOm85Hmkbj6T3aG2tIkoQoCIna654dBZmh5VDP6omEykc/\n8qP84v/4P/Gxj32MTieqI+7v76MoCq7r0um0+c3f/Ne4rsvP/dzPApFX9h/8wR/wT376p9hv9yhL\nIuX1Bp7nYRhTpqa1sHiOxxNq1dJC6SYuKcFiuetkuWRsRGz3OPA4zjFxTxCFyMVvLkuJP+9gEJ3b\nVrt3x2t8Mpkmi2XcF4GoKR8fo6qqszp/SK83jPzsW10EQaBYzGOaFvl8NhnZhrlAKAiYpkUQBGQy\naTY3Vjk8bHHL8biysZoc6zLs7Tcpl4ocBVfZbj/NTe8Sq6tRL+husqZGo7Y0UziLsX+y5+b5p4mS\noiQmrxmXON8qeDt43APm5UkGZiSLXdJUKrPF6SxJ6LNgOx6pExIHJ/GascPjpXclO/az0O30k5v9\n5Veus7mxljCVh7OpmqYxXQhQmiqTKmush9/EDooU65u8fP0GrpcjYzYpl0rkchkeq3b55l6G7a00\npcr9vPZqtGjlAMcPkIQptuMgiCLBnFy6H4QcHLa4sFFEkiV8PxI9LBGiF3Jo6uL0FETlrKvF2XkU\npjSbU9J6CnOJQxwc63CdHEYYnMPWleUoGAyHYxzHJZXSGIxGbMwCy/bWGutrK3hZldprt+lubZAv\n5hNjrVhyZuS4jHpuwsnI5eDHf/y/YnNjFduyeWprm+n9VyJVVkHAsS0+/A//IVfKeXrdDoedAQej\nFL/wz3+WdrdPNZeJSmmzHW5xZrE7j6TZPdejuJPUSIyTwcQPFlvwJ8tbnufR7Q6pVUvYtnv+Lpto\n9Lc7K3fGPZGzppV8P0DXNTLpNLl8hlw+Q7fTR1FkFGUZ4TXKjGzLRlPVhc+/ulrHtuxkA2GcQZqN\nA1E6ncKiwsX201jcW6lNWtJsj0Uz41H09bU6shwpKewfHLEym2ar15afP2c29v1WmrSCt4PHt4yi\nrtExbSqZFN2JRd92WM+l0e9yxlvwHQ4mJtlzROD2x8f1+ZjUdye8/Mr1yBd8eCxBEU9zSCeaymrv\nBTxtBav2BOPxhN2960nAiSEbt7FqT7A9e7xSEygVZ6SyQUguIzDoRiZP62sr9F+PFo+d2wdIkogs\nS9zeH0S1fD2F63kMJZkrqowQTAnFxcUlJYnc2htEC10IjZXo90Nrjn8yt7uupU/XyF3XS0aEY8Qq\nqLVaGVEQqFbLkctfb5B4ssf9hNj+tlopEXCbcquNXK+gSBLtbv+URerQsijMFvXNjVWYKwGZpoX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9B1Iq3NxGMxFpIporEYg9dH8eXT3NLfS9ayPefzZvoIl8vAV2emRU8vGgLrVm3u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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x181c308df98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clusterClubs(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
